메뉴 건너뛰기




Volumn , Issue , 2009, Pages 73-90

Overview and fundamentals of medical image segmentation

Author keywords

[No Author keywords available]

Indexed keywords


EID: 79959677044     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012373904-9.50013-1     Document Type: Chapter
Times cited : (49)

References (171)
  • 1
    • 24144477579 scopus 로고    scopus 로고
    • Segmentation and classification of burn images by color and texture information
    • Acha B, Serrano C, Acha JI, Roa LM Segmentation and classification of burn images by color and texture information. J Biomed Opt. 2005, 10(3):034014.
    • (2005) J Biomed Opt. , vol.10 , Issue.3 , pp. 034014
    • Acha, B.1    Serrano, C.2    Acha, J.I.3    Roa, L.M.4
  • 3
    • 0026870427 scopus 로고
    • Optimization neural networks for the segmentation of magnetic resonance images
    • Amartur SC, Piraino D, Takefuji Y Optimization neural networks for the segmentation of magnetic resonance images. IEEE Trans Med Imag 1992, 11(2):215-220.
    • (1992) IEEE Trans Med Imag , vol.11 , Issue.2 , pp. 215-220
    • Amartur, S.C.1    Piraino, D.2    Takefuji, Y.3
  • 5
    • 0031987383 scopus 로고    scopus 로고
    • Fully automatic segmentation of the brain in MRI
    • Atkins MS, Mackiewich BT Fully automatic segmentation of the brain in MRI. IEEE Trans Med Imag 1998, 17(1):98-107.
    • (1998) IEEE Trans Med Imag , vol.17 , Issue.1 , pp. 98-107
    • Atkins, M.S.1    Mackiewich, B.T.2
  • 11
    • 0023014622 scopus 로고
    • Dynamic thresholding of gray-level images
    • Paris, France. (October).
    • Bernsen J. Dynamic thresholding of gray-level images. Proc 8th Int Conf Pattern Recognition, Paris, France. 1986(October):1251-1255.
    • (1986) Proc 8th Int Conf Pattern Recognition , pp. 1251-1255
    • Bernsen, J.1
  • 13
    • 0027275316 scopus 로고
    • Review of MR image segmentation techniques using pattern recognition
    • Bezdek JC, Hall LO, Clarke LP Review of MR image segmentation techniques using pattern recognition. Med Phys 1993, 20(4):1033-1048.
    • (1993) Med Phys , vol.20 , Issue.4 , pp. 1033-1048
    • Bezdek, J.C.1    Hall, L.O.2    Clarke, L.P.3
  • 16
    • 0033973476 scopus 로고    scopus 로고
    • Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering
    • Boudraa AO, Dehak SM, Zhu YM, Pachai C, Bao YG, Grimaud J Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering. Comput Biol Med 2000, 30(1):23-40.
    • (2000) Comput Biol Med , vol.30 , Issue.1 , pp. 23-40
    • Boudraa, A.O.1    Dehak, S.M.2    Zhu, Y.M.3    Pachai, C.4    Bao, Y.G.5    Grimaud, J.6
  • 17
    • 0028069240 scopus 로고
    • Estimation of CSF, white and gray matter volumes in hydrocephalic children using fuzzy clustering of MR imaging
    • Bramdt ME, Bohan TP, Kramer LA, Fletcher JM Estimation of CSF, white and gray matter volumes in hydrocephalic children using fuzzy clustering of MR imaging. Computerized Med Imag Graphics 1994, 18(1):25-34.
    • (1994) Computerized Med Imag Graphics , vol.18 , Issue.1 , pp. 25-34
    • Bramdt, M.E.1    Bohan, T.P.2    Kramer, L.A.3    Fletcher, J.M.4
  • 18
    • 0018726162 scopus 로고
    • Scene segmentation in automated histopathology: Techniques evolved from cytology automation
    • Brenner JF, Lester JM, Selles WD Scene segmentation in automated histopathology: Techniques evolved from cytology automation. Pattern Recognition 1981, 13:65-77.
    • (1981) Pattern Recognition , vol.13 , pp. 65-77
    • Brenner, J.F.1    Lester, J.M.2    Selles, W.D.3
  • 19
    • 0025482299 scopus 로고
    • An approach to automated detection of tumors in mammograms
    • Brzakovic D, Luo XM, Brzakovic P An approach to automated detection of tumors in mammograms. IEEE Trans Med Imag 1990, 9(3):233-241.
    • (1990) IEEE Trans Med Imag , vol.9 , Issue.3 , pp. 233-241
    • Brzakovic, D.1    Luo, X.M.2    Brzakovic, P.3
  • 20
    • 1242316316 scopus 로고    scopus 로고
    • A deformable-model approach to semi-automatic segmentation of CT images demonstrated by application to the spinal canal
    • Burnett SS, Starkschalla G, Stevens CW, Liao Z A deformable-model approach to semi-automatic segmentation of CT images demonstrated by application to the spinal canal. Med Phys 2004, 31(2):251-263.
    • (2004) Med Phys , vol.31 , Issue.2 , pp. 251-263
    • Burnett, S.S.1    Starkschalla, G.2    Stevens, C.W.3    Liao, Z.4
  • 21
    • 27844486093 scopus 로고    scopus 로고
    • Toward a generic evaluation of image segmentation
    • Cardoso JS, Corte-Real L Toward a generic evaluation of image segmentation. IEEE Trans Image Process 2005, 14(11):1773-1782.
    • (2005) IEEE Trans Image Process , vol.14 , Issue.11 , pp. 1773-1782
    • Cardoso, J.S.1    Corte-real, L.2
  • 23
    • 0031240184 scopus 로고    scopus 로고
    • A methodology for evaluation of boundary detection algorithms on medical images
    • Chalana V, Kim Y A methodology for evaluation of boundary detection algorithms on medical images. IEEE Med Imag 1997, 16(5):634-652.
    • (1997) IEEE Med Imag , vol.16 , Issue.5 , pp. 634-652
    • Chalana, V.1    Kim, Y.2
  • 24
    • 29944447410 scopus 로고    scopus 로고
    • A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images
    • Chen W, Giger ML, Bick U A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Acad Radiol 2006, 13(1):63-72.
    • (2006) Acad Radiol , vol.13 , Issue.1 , pp. 63-72
    • Chen, W.1    Giger, M.L.2    Bick, U.3
  • 25
    • 0015381204 scopus 로고
    • Automatic boundary detection of the left ventricle from cineangiograms
    • Chow CK, Kaneko T Automatic boundary detection of the left ventricle from cineangiograms. Comput Biomed Res 1972, 5:388-410.
    • (1972) Comput Biomed Res , vol.5 , pp. 388-410
    • Chow, C.K.1    Kaneko, T.2
  • 28
    • 0023619152 scopus 로고
    • 3D reconstruction of the brain from magnetic resonance images using a connectivity algorithm
    • Cline HE, Dumoulin CL, Hart HR, Lorensen WE, Ludke S 3D reconstruction of the brain from magnetic resonance images using a connectivity algorithm. Magn Reson Imaging 1987, 5:345-352.
    • (1987) Magn Reson Imaging , vol.5 , pp. 345-352
    • Cline, H.E.1    Dumoulin, C.L.2    Hart, H.R.3    Lorensen, W.E.4    Ludke, S.5
  • 29
    • 0025000563 scopus 로고
    • Three-dimensional segmentation of MR images of the head using probability and connectivity
    • Cline HE, Lorensen WE, Kikinis R, Jolesz R Three-dimensional segmentation of MR images of the head using probability and connectivity. J Comp Assisted Tomography 1990, 14(6):1037-1045.
    • (1990) J Comp Assisted Tomography , vol.14 , Issue.6 , pp. 1037-1045
    • Cline, H.E.1    Lorensen, W.E.2    Kikinis, R.3    Jolesz, R.4
  • 30
    • 0026984761 scopus 로고
    • Model based segmentation of individual brain structures from MRI data
    • In: R A Robb, (ed.) Visualization in Biomedical Computing II, Proc. SPIE 1808. Chapel Hill, NC.
    • Collins DL, Peters TM, Dai W, Evans AC. Model based segmentation of individual brain structures from MRI data. In: R A Robb, (ed.) Visualization in Biomedical Computing II, Proc. SPIE 1808. Chapel Hill, NC; 1992:10-23.
    • (1992) , pp. 10-23
    • Collins, D.L.1    Peters, T.M.2    Dai, W.3    Evans, A.C.4
  • 31
    • 0001266569 scopus 로고
    • A survey of edge detection techniques
    • Davies LS A survey of edge detection techniques. Computer Graph and Image Proc 1975, 4:248-270.
    • (1975) Computer Graph and Image Proc , vol.4 , pp. 248-270
    • Davies, L.S.1
  • 33
    • 34047106008 scopus 로고
    • A methodology for the validation of image segmentation algorithms
    • In Proc. IEEE Symp Computer-Based Medical Systems.
    • deGraaf C, Koster A, Vincken K, Viergever M. A methodology for the validation of image segmentation algorithms, In Proc. IEEE Symp Computer-Based Medical Systems: 1992:17-24.
    • (1992) , pp. 17-24
    • DeGraaf, C.1    Koster, A.2    Vincken, K.3    Viergever, M.4
  • 34
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster AP, Laird NM, Rubin DB Maximum likelihood from incomplete data via the EM algorithm. J Roy Statist Soc 1977, 39:1-38.
    • (1977) J Roy Statist Soc , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 36
    • 0023148716 scopus 로고
    • Connectionist architectures for artificial intelligence
    • Fahlman S, Hinton G Connectionist architectures for artificial intelligence. IEEE Computer 1987, 20(1):100-109.
    • (1987) IEEE Computer , vol.20 , Issue.1 , pp. 100-109
    • Fahlman, S.1    Hinton, G.2
  • 39
    • 34247487950 scopus 로고    scopus 로고
    • Automatic segmentation of the bone and extraction of the bone-cartilage interface from magnetic resonance images of the knee
    • Fripp J, Crozier S, Warfield SK, Ourselin S Automatic segmentation of the bone and extraction of the bone-cartilage interface from magnetic resonance images of the knee. Phys Med Biol 2007, 52(6):1617-1631.
    • (2007) Phys Med Biol , vol.52 , Issue.6 , pp. 1617-1631
    • Fripp, J.1    Crozier, S.2    Warfield, S.K.3    Ourselin, S.4
  • 40
    • 0018729995 scopus 로고
    • A survey on image segmentation
    • Fu KS, Mui JK A survey on image segmentation. Pattern Recognition 1981, 13(1):3-16.
    • (1981) Pattern Recognition , vol.13 , Issue.1 , pp. 3-16
    • Fu, K.S.1    Mui, J.K.2
  • 45
    • 0025669690 scopus 로고
    • Boundary detection in skin tumor images: An overall approach and a radial search algorithm
    • Golston JE, Moss RH, Stoecker WV Boundary detection in skin tumor images: An overall approach and a radial search algorithm. Pattern Recognition 1990, 23(11):1235-1247.
    • (1990) Pattern Recognition , vol.23 , Issue.11 , pp. 1235-1247
    • Golston, J.E.1    Moss, R.H.2    Stoecker, W.V.3
  • 48
    • 0029269575 scopus 로고
    • Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers
    • Goshtasby A, Turner DA Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers. IEEE Trans Med Imag 1995, 14(1):56-64.
    • (1995) IEEE Trans Med Imag , vol.14 , Issue.1 , pp. 56-64
    • Goshtasby, A.1    Turner, D.A.2
  • 49
    • 1942486776 scopus 로고    scopus 로고
    • Improved watershed transform for medical image segmentation using prior information
    • Grau V, Mewes AU, Alcaniz M, Kikinis R, Warfield SK Improved watershed transform for medical image segmentation using prior information. IEEE Trans Med Imaging 2004, 23(4):447-458.
    • (2004) IEEE Trans Med Imaging , vol.23 , Issue.4 , pp. 447-458
    • Grau, V.1    Mewes, A.U.2    Alcaniz, M.3    Kikinis, R.4    Warfield, S.K.5
  • 50
    • 0031150141 scopus 로고    scopus 로고
    • Estimating the bias field of MR images
    • Guillemaud R, Brady M Estimating the bias field of MR images. IEEE Trans Med Imag 1997, 16(3):238-251.
    • (1997) IEEE Trans Med Imag , vol.16 , Issue.3 , pp. 238-251
    • Guillemaud, R.1    Brady, M.2
  • 57
  • 58
    • 0021052535 scopus 로고
    • Processing and analysis of radiographic image sequences
    • Springer-Verlag, Berlin, (NATO ASI Series, vol. F2), T.S. Huang (Ed.)
    • Höhne KH, Bohm M Processing and analysis of radiographic image sequences. Image Sequence Processing and Dynamic Scene Analysis 1983, 602-623. Springer-Verlag, Berlin, (NATO ASI Series, vol. F2). T.S. Huang (Ed.).
    • (1983) Image Sequence Processing and Dynamic Scene Analysis , pp. 602-623
    • Höhne, K.H.1    Bohm, M.2
  • 59
    • 0026608593 scopus 로고
    • Interactive 3D-segmentation of MRI and CT volumes using morphological operations
    • Höhne KH, Hanson WA Interactive 3D-segmentation of MRI and CT volumes using morphological operations. J Comput Assist Tomogr 1992, 16(2):285-294.
    • (1992) J Comput Assist Tomogr , vol.16 , Issue.2 , pp. 285-294
    • Höhne, K.H.1    Hanson, W.A.2
  • 61
    • 0026214077 scopus 로고
    • Visualization of MR angiography data with segmentation and volume-rendering techniques
    • Hu X, Alperin N, Levin DN, Tan KK, Mengeot M Visualization of MR angiography data with segmentation and volume-rendering techniques. Magn Res Imag 1991, 1:539-546.
    • (1991) Magn Res Imag , vol.1 , pp. 539-546
    • Hu, X.1    Alperin, N.2    Levin, D.N.3    Tan, K.K.4    Mengeot, M.5
  • 62
    • 0026044468 scopus 로고
    • Bayesean image processing in magnetic resonance imaging
    • Hu X, Johnson V, Wong WH, Chen CT Bayesean image processing in magnetic resonance imaging. Magn Reson Imag 1991, 9:611-620.
    • (1991) Magn Reson Imag , vol.9 , pp. 611-620
    • Hu, X.1    Johnson, V.2    Wong, W.H.3    Chen, C.T.4
  • 63
    • 0027608824 scopus 로고
    • Improvements of nuclear magnetic resonance image quality using iterations of adaptive nonlinear filtering
    • Itagaki H Improvements of nuclear magnetic resonance image quality using iterations of adaptive nonlinear filtering. IEEE Trans Med Imag 1993, 12(2):322-327.
    • (1993) IEEE Trans Med Imag , vol.12 , Issue.2 , pp. 322-327
    • Itagaki, H.1
  • 67
    • 0012547271 scopus 로고    scopus 로고
    • Image segmentation using clustering
    • IEEE Computer Society Press, Los Alamitas, CA, K. Bowyer, N. Ahuja (Eds.)
    • Jain AK, Flynn PJ Image segmentation using clustering. Advances in Image Understanding 1996, IEEE Computer Society Press, Los Alamitas, CA. K. Bowyer, N. Ahuja (Eds.).
    • (1996) Advances in Image Understanding
    • Jain, A.K.1    Flynn, P.J.2
  • 68
  • 69
    • 0027524667 scopus 로고
    • MR quantification of cerebral ventricular volume using a semiautomated algorithm
    • Johnson LA, Pearlman JD, Miller CA, Young TI, Thulborn KR MR quantification of cerebral ventricular volume using a semiautomated algorithm. AJNR 1993, 14:1313-1378.
    • (1993) AJNR , vol.14 , pp. 1313-1378
    • Johnson, L.A.1    Pearlman, J.D.2    Miller, C.A.3    Young, T.I.4    Thulborn, K.R.5
  • 70
    • 0027609848 scopus 로고
    • Three-dimensional segmentation and interpolation of magnetic resonance brain images
    • Joliot M, Mazoyer BM Three-dimensional segmentation and interpolation of magnetic resonance brain images. IEEE Trans Med Imag 1993, 12(2):269-277.
    • (1993) IEEE Trans Med Imag , vol.12 , Issue.2 , pp. 269-277
    • Joliot, M.1    Mazoyer, B.M.2
  • 76
    • 0025435206 scopus 로고
    • Local segmentation of biomedical images
    • Kundu A Local segmentation of biomedical images. Comput Med Imaging Graph 1990, 14:173-183.
    • (1990) Comput Med Imaging Graph , vol.14 , pp. 173-183
    • Kundu, A.1
  • 77
    • 0018171606 scopus 로고
    • Two graph searching techniques for boundary finding in white blood cell images
    • Lester LM, Williams HA, Weintraub BA, Brenner JF Two graph searching techniques for boundary finding in white blood cell images. Comput Biol Med 1978, 8:293-308.
    • (1978) Comput Biol Med , vol.8 , pp. 293-308
    • Lester, L.M.1    Williams, H.A.2    Weintraub, B.A.3    Brenner, J.F.4
  • 79
    • 34247335352 scopus 로고    scopus 로고
    • Classification-driven watershed segmentation
    • Levner I, Zhang H Classification-driven watershed segmentation. IEEE Trans Image Process 2007, 16(5):1437-1445.
    • (2007) IEEE Trans Image Process , vol.16 , Issue.5 , pp. 1437-1445
    • Levner, I.1    Zhang, H.2
  • 80
    • 0027556542 scopus 로고
    • Tissue classification and segmentation of MR images
    • Liang Z Tissue classification and segmentation of MR images. IEEE in Medicine and Biology 1993, 12(1):81-85.
    • (1993) IEEE in Medicine and Biology , vol.12 , Issue.1 , pp. 81-85
    • Liang, Z.1
  • 81
    • 0024397465 scopus 로고
    • Segmentation of MR brain images into cerebrospinal fluid spaces, white and gray matter
    • Lim K, Pfefferbaum A Segmentation of MR brain images into cerebrospinal fluid spaces, white and gray matter. J Comput Assist Tomogr 1989, 13:588-593.
    • (1989) J Comput Assist Tomogr , vol.13 , pp. 588-593
    • Lim, K.1    Pfefferbaum, A.2
  • 83
    • 30744455457 scopus 로고    scopus 로고
    • Computer-aided kidney segmentation on abdominal CT images
    • Lin DT, Lei CC, Hung SW Computer-aided kidney segmentation on abdominal CT images. IEEE Trans Inf Technol Biomed 2006, 0(1):59-65.
    • (2006) IEEE Trans Inf Technol Biomed , vol.0 , Issue.1 , pp. 59-65
    • Lin, D.T.1    Lei, C.C.2    Hung, S.W.3
  • 84
    • 0026895365 scopus 로고
    • Constraint satisfaction neural networks for image segmentation
    • Lin WC, Tsao EC, Chen CT Constraint satisfaction neural networks for image segmentation. Pattern Recogn 1992, 25(7):679-693.
    • (1992) Pattern Recogn , vol.25 , Issue.7 , pp. 679-693
    • Lin, W.C.1    Tsao, E.C.2    Chen, C.T.3
  • 85
    • 33749180450 scopus 로고    scopus 로고
    • Image and texture segmentation using local spectral histograms
    • Liu X, Wang D Image and texture segmentation using local spectral histograms. IEEE Trans Image Process 2006, 15(10):3066-3077.
    • (2006) IEEE Trans Image Process , vol.15 , Issue.10 , pp. 3066-3077
    • Liu, X.1    Wang, D.2
  • 87
    • 0030226052 scopus 로고    scopus 로고
    • Segmentation strategies for breast tumors from dynamic MR images
    • Lucas-Quesada FA, Sinha U, Sinha S Segmentation strategies for breast tumors from dynamic MR images. JMRI 1996, 6:753-763.
    • (1996) JMRI , vol.6 , pp. 753-763
    • Lucas-quesada, F.A.1    Sinha, U.2    Sinha, S.3
  • 90
    • 0030153642 scopus 로고    scopus 로고
    • Deformable models in medical image analysis: A survey
    • McInerney T, Terzopoulos D Deformable models in medical image analysis: A survey. Medical Image Analysis. 1996, 1(2):91-108.
    • (1996) Medical Image Analysis. , vol.1 , Issue.2 , pp. 91-108
    • McInerney, T.1    Terzopoulos, D.2
  • 92
    • 0028390325 scopus 로고
    • Computer-assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain
    • Mitchell JR, Karlik SJ, Lee DH, Fenster A Computer-assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain. JMRI 1994, 4:197-208.
    • (1994) JMRI , vol.4 , pp. 197-208
    • Mitchell, J.R.1    Karlik, S.J.2    Lee, D.H.3    Fenster, A.4
  • 93
    • 0022065367 scopus 로고
    • Image segmentation by conventional and information-integrating techniques: A synopsis
    • Mitiche A, Aggarwal JK Image segmentation by conventional and information-integrating techniques: A synopsis. Image and Vision Computing 1985, 3(2):50-62.
    • (1985) Image and Vision Computing , vol.3 , Issue.2 , pp. 50-62
    • Mitiche, A.1    Aggarwal, J.K.2
  • 95
    • 0027565679 scopus 로고
    • Multiresolution texture segmentation with application to diagnostic ultrasound images
    • Muzzolini R, Yang YH, Pierson R Multiresolution texture segmentation with application to diagnostic ultrasound images. IEEE Trans on Med Imag 1993, 12(1):108-123.
    • (1993) IEEE Trans on Med Imag , vol.12 , Issue.1 , pp. 108-123
    • Muzzolini, R.1    Yang, Y.H.2    Pierson, R.3
  • 96
    • 0025290178 scopus 로고
    • Functional image of dynamic computed tomography for the evaluation of cerebral hemodynamics
    • Nagata K, Asano T Functional image of dynamic computed tomography for the evaluation of cerebral hemodynamics. Stroke 1990, 21:882-889.
    • (1990) Stroke , vol.21 , pp. 882-889
    • Nagata, K.1    Asano, T.2
  • 97
    • 0018655493 scopus 로고
    • Some experiments on variable thresholding
    • Nakagawa Y, Rosenfeld A Some experiments on variable thresholding. Pattern Recognition 1979, 11:191-204.
    • (1979) Pattern Recognition , vol.11 , pp. 191-204
    • Nakagawa, Y.1    Rosenfeld, A.2
  • 99
    • 33746885878 scopus 로고    scopus 로고
    • Ultrasound image segmentation: A survey
    • Noble JA, Boukerroui D Ultrasound image segmentation: A survey. IEEE Trans Med Imaging 2006, 25(8):987-1010.
    • (2006) IEEE Trans Med Imaging , vol.25 , Issue.8 , pp. 987-1010
    • Noble, J.A.1    Boukerroui, D.2
  • 100
    • 0027662763 scopus 로고
    • Neural-network based segmentation of multi-modal medical images: A comparative and prospective study
    • Qzkan M, Dawant BM, Maciunas RJ Neural-network based segmentation of multi-modal medical images: A comparative and prospective study. IEEE Trans Med Imag 1993, 12(3):534-544.
    • (1993) IEEE Trans Med Imag , vol.12 , Issue.3 , pp. 534-544
    • Qzkan, M.1    Dawant, B.M.2    Maciunas, R.J.3
  • 101
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • Pal NR, Pal SK A review on image segmentation techniques. Pattern Recognition 1993, 26(9):1227-1249.
    • (1993) Pattern Recognition , vol.26 , Issue.9 , pp. 1227-1249
    • Pal, N.R.1    Pal, S.K.2
  • 103
    • 0034575445 scopus 로고    scopus 로고
    • Current methods in medical image segmentation
    • Pham DL, Xu C, Prince JL Current methods in medical image segmentation. Annu Rev Biomed Eng 2000, 2:315-337.
    • (2000) Annu Rev Biomed Eng , vol.2 , pp. 315-337
    • Pham, D.L.1    Xu, C.2    Prince, J.L.3
  • 106
    • 10744223883 scopus 로고    scopus 로고
    • Application of region-based segmentation and neural network edge detection to skin lesions
    • Rajab MI, Woolfson MS, Morgan SP Application of region-based segmentation and neural network edge detection to skin lesions. Comput Med Imaging Graph 2004, 28:61-68.
    • (2004) Comput Med Imaging Graph , vol.28 , pp. 61-68
    • Rajab, M.I.1    Woolfson, M.S.2    Morgan, S.P.3
  • 107
    • 0031106955 scopus 로고    scopus 로고
    • Statistical approach to segmentation of single-channel cerebral MR images
    • Rajapakse JC, Giedd JN, Rapoport JL Statistical approach to segmentation of single-channel cerebral MR images. IEEE Trans Med Imag 1997, 16(2):176-186.
    • (1997) IEEE Trans Med Imag , vol.16 , Issue.2 , pp. 176-186
    • Rajapakse, J.C.1    Giedd, J.N.2    Rapoport, J.L.3
  • 109
    • 0031283432 scopus 로고    scopus 로고
    • Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks
    • Reddick WE, Glass JO, Cook EN, Elkin TD, Deaton RJ Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks. IEEE Trans Med Imag 1997, 16(6):911-918.
    • (1997) IEEE Trans Med Imag , vol.16 , Issue.6 , pp. 911-918
    • Reddick, W.E.1    Glass, J.O.2    Cook, E.N.3    Elkin, T.D.4    Deaton, R.J.5
  • 110
    • 33846216313 scopus 로고    scopus 로고
    • Volumetric texture segmentation by discriminant feature selection and multiresolution classification
    • Reyes Aldasoro CC, Bhalerao A Volumetric texture segmentation by discriminant feature selection and multiresolution classification. IEEE Trans Med Imaging 2007, 26(1):1-14.
    • (2007) IEEE Trans Med Imaging , vol.26 , Issue.1 , pp. 1-14
    • Reyes Aldasoro, C.C.1    Bhalerao, A.2
  • 111
    • 0023885316 scopus 로고
    • Digital cine angiographic evaluation of pulmonary blood flow velocity in ventricular septal defect
    • Riediger G, GravinghoffLM, Hohne KH, Keck EW Digital cine angiographic evaluation of pulmonary blood flow velocity in ventricular septal defect. Cardiovasc Intervent Radiol 1988, 11:1-4.
    • (1988) Cardiovasc Intervent Radiol , vol.11 , pp. 1-4
    • Riediger, G.1    Gravinghoff, L.M.2    Hohne, K.H.3    Keck, E.W.4
  • 114
    • 0026800763 scopus 로고
    • Temporal correlation images derived from sequential MRI scans
    • Rogowska J, Wolf GL Temporal correlation images derived from sequential MRI scans. J Comp Assist Tomogr 1992, 16(5):784-788.
    • (1992) J Comp Assist Tomogr , vol.16 , Issue.5 , pp. 784-788
    • Rogowska, J.1    Wolf, G.L.2
  • 117
    • 0029881172 scopus 로고    scopus 로고
    • Quantitative CT lymphography: Evaluation of selected two-dimensional techniques for computed tomography quantitation of lymph nodes
    • Rogowska J, Batchelder K, Gazelle GS, Halpern EF, Connor W, Wolf GL Quantitative CT lymphography: Evaluation of selected two-dimensional techniques for computed tomography quantitation of lymph nodes. Investigative Radiology 1996, 31(3):138-145.
    • (1996) Investigative Radiology , vol.31 , Issue.3 , pp. 138-145
    • Rogowska, J.1    Batchelder, K.2    Gazelle, G.S.3    Halpern, E.F.4    Connor, W.5    Wolf, G.L.6
  • 118
    • 0037148694 scopus 로고    scopus 로고
    • Image processing techniques for noise removal, enhancement and segmentation of cartilage OCT images
    • Rogowska J, Brezinski ME Image processing techniques for noise removal, enhancement and segmentation of cartilage OCT images. Phys Med Biol 2002, 47(4):641-655.
    • (2002) Phys Med Biol , vol.47 , Issue.4 , pp. 641-655
    • Rogowska, J.1    Brezinski, M.E.2
  • 120
    • 84973561638 scopus 로고    scopus 로고
    • Digital image processing techniques for speckle reduction, enhancement and segmentation of optical coherence tomography (OCT) images
    • Elsevier, M. Brezinski (Ed.)
    • Rogowska J Digital image processing techniques for speckle reduction, enhancement and segmentation of optical coherence tomography (OCT) images. Optical Coherence Tomography 2006, Elsevier. M. Brezinski (Ed.).
    • (2006) Optical Coherence Tomography
    • Rogowska, J.1
  • 124
    • 0032587461 scopus 로고    scopus 로고
    • Segmentation of digitized dermatoscopic images by two-dimensional color clustering
    • Schmid P Segmentation of digitized dermatoscopic images by two-dimensional color clustering. IEEE Trans on Med Imag 1999, 18(2):164-171.
    • (1999) IEEE Trans on Med Imag , vol.18 , Issue.2 , pp. 164-171
    • Schmid, P.1
  • 126
    • 0032587693 scopus 로고    scopus 로고
    • Segmentation of medical images using LEGION
    • Shareef N, Wand DL, Yagel R Segmentation of medical images using LEGION. IEEE Trans Med Imag 1999, 18(1):74-91.
    • (1999) IEEE Trans Med Imag , vol.18 , Issue.1 , pp. 74-91
    • Shareef, N.1    Wand, D.L.2    Yagel, R.3
  • 129
    • 0031028674 scopus 로고    scopus 로고
    • Automatic cardiac MR image segmentation using edge detection by tissue classification in pixel neighborhoods
    • Singleton HR, Pohost GM Automatic cardiac MR image segmentation using edge detection by tissue classification in pixel neighborhoods. Mag Res Med 1997, 37:418-424.
    • (1997) Mag Res Med , vol.37 , pp. 418-424
    • Singleton, H.R.1    Pohost, G.M.2
  • 131
    • 0031060806 scopus 로고    scopus 로고
    • Adaptive approach to accurate analysis of small-diameter vessels in cineangiograms
    • Sonka M, Reddy GK, Winniford MD, Collins SM Adaptive approach to accurate analysis of small-diameter vessels in cineangiograms. IEEE Trans Med Imag 1997, 16(1):87-95.
    • (1997) IEEE Trans Med Imag , vol.16 , Issue.1 , pp. 87-95
    • Sonka, M.1    Reddy, G.K.2    Winniford, M.D.3    Collins, S.M.4
  • 135
    • 0029322515 scopus 로고
    • Directional low-pass filtering for improved accuracy and reproducibility of stenosis quantification in coronary arteriograms
    • Sun Y, Lucariello RJ, Chiaramida SA Directional low-pass filtering for improved accuracy and reproducibility of stenosis quantification in coronary arteriograms. IEEE Trans Med Imag 1995, 14(2):242-248.
    • (1995) IEEE Trans Med Imag , vol.14 , Issue.2 , pp. 242-248
    • Sun, Y.1    Lucariello, R.J.2    Chiaramida, S.A.3
  • 137
    • 0026509024 scopus 로고
    • Multispectral analysis of uterine corpus tumors in magnetic resonance imaging
    • Taxt T, Lundervold A, Fuglaas B, Lien H, Abeler V Multispectral analysis of uterine corpus tumors in magnetic resonance imaging. Magn Res Med 1992, 23:55-76.
    • (1992) Magn Res Med , vol.23 , pp. 55-76
    • Taxt, T.1    Lundervold, A.2    Fuglaas, B.3    Lien, H.4    Abeler, V.5
  • 138
    • 0029270717 scopus 로고
    • Methods of graph searching for border detection in image sequences with applications to cardiac magnetic resonance imaging
    • Thedens DR, Skorton DJ, Feagle SR Methods of graph searching for border detection in image sequences with applications to cardiac magnetic resonance imaging. IEEE Trans Med Imag 1995, 14(1):42-55.
    • (1995) IEEE Trans Med Imag , vol.14 , Issue.1 , pp. 42-55
    • Thedens, D.R.1    Skorton, D.J.2    Feagle, S.R.3
  • 140
    • 38249012004 scopus 로고
    • Segmentation of MR images using neural nets
    • Toulson DL, Boyce JF Segmentation of MR images using neural nets. Image Vision, Computing 1992, 5:324-328.
    • (1992) Image Vision, Computing , vol.5 , pp. 324-328
    • Toulson, D.L.1    Boyce, J.F.2
  • 141
    • 23844461752 scopus 로고    scopus 로고
    • An EM algorithm for shape classification based on level sets
    • Tsai A, Wells WM, Warfield SK, Willsky AS An EM algorithm for shape classification based on level sets. Med Image Anal 2005, 9(5):491-502.
    • (2005) Med Image Anal , vol.9 , Issue.5 , pp. 491-502
    • Tsai, A.1    Wells, W.M.2    Warfield, S.K.3    Willsky, A.S.4
  • 146
    • 0001598458 scopus 로고
    • Magnetic resonance imaging multispectral tissue classification
    • Vannier MW, Speidel CM, Rickman DL Magnetic resonance imaging multispectral tissue classification. News Physiol Sci 1988, 3:148-154.
    • (1988) News Physiol Sci , vol.3 , pp. 148-154
    • Vannier, M.W.1    Speidel, C.M.2    Rickman, D.L.3
  • 147
    • 29144441427 scopus 로고    scopus 로고
    • A novel local thresholding algorithm for trabecular bone volume fraction mapping in the limited spatial resolution regime of in vivo MRI
    • Vasilic B, Wehrli FW A novel local thresholding algorithm for trabecular bone volume fraction mapping in the limited spatial resolution regime of in vivo MRI. IEEE Trans Med Imaging 2005, 24(12):1574-1585.
    • (2005) IEEE Trans Med Imaging , vol.24 , Issue.12 , pp. 1574-1585
    • Vasilic, B.1    Wehrli, F.W.2
  • 148
    • 0026172104 scopus 로고
    • Watersheds in digital spaces: An efficient algorithm based on immersion simulations
    • Vincen L, Soille P Watersheds in digital spaces: An efficient algorithm based on immersion simulations. IEEE Trans PAMI 1991, 13(6):583-598.
    • (1991) IEEE Trans PAMI , vol.13 , Issue.6 , pp. 583-598
    • Vincen, L.1    Soille, P.2
  • 149
    • 0027576716 scopus 로고
    • Morphological grayscale reconstruction in image analysis:Applications and efficient algorithms
    • Vincent L Morphological grayscale reconstruction in image analysis:Applications and efficient algorithms. IEEE Trans Image Processing 1993, 2(2):176-201.
    • (1993) IEEE Trans Image Processing , vol.2 , Issue.2 , pp. 176-201
    • Vincent, L.1
  • 150
    • 0026913246 scopus 로고
    • Fast, interactive algorithm for segmentation of series of related images: Application to volumetric analysis of MR images of the heart
    • Wang JZ, Turner DA, Chutuape MD Fast, interactive algorithm for segmentation of series of related images: Application to volumetric analysis of MR images of the heart. JMRI 1992, 2(5):575-582.
    • (1992) JMRI , vol.2 , Issue.5 , pp. 575-582
    • Wang, J.Z.1    Turner, D.A.2    Chutuape, M.D.3
  • 152
    • 0034151398 scopus 로고    scopus 로고
    • Adaptive template moderated spatially varying statistical classification
    • Warfield SK, Ferenc MK, Jolesz A, Kikinis R Adaptive template moderated spatially varying statistical classification. Medical Image Analysis 2000, 4(1):43-55.
    • (2000) Medical Image Analysis , vol.4 , Issue.1 , pp. 43-55
    • Warfield, S.K.1    Ferenc, M.K.2    Jolesz, A.3    Kikinis, R.4
  • 153
    • 1942438249 scopus 로고    scopus 로고
    • Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation
    • Warfield SK, Zou KH, Wells WM Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation. IEEE Trans Med Imaging 2004, 23(7):903-921.
    • (2004) IEEE Trans Med Imaging , vol.23 , Issue.7 , pp. 903-921
    • Warfield, S.K.1    Zou, K.H.2    Wells, W.M.3
  • 155
  • 159
    • 0017957882 scopus 로고
    • A survey of threshold selection techniques
    • Weszka JS A survey of threshold selection techniques. Computer Graphics and Image Proc 1978, 7:259-265.
    • (1978) Computer Graphics and Image Proc , vol.7 , pp. 259-265
    • Weszka, J.S.1
  • 161
    • 33847610032 scopus 로고    scopus 로고
    • Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data
    • Woods BJ, Clymer BD, Kurc T, Heverhagen JT, Stevens R, Orsdemir A, Bulan O, Knopp MV Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data. J Magn Reson Imaging 2007, 25(3):495-501.
    • (2007) J Magn Reson Imaging , vol.25 , Issue.3 , pp. 495-501
    • Woods, B.J.1    Clymer, B.D.2    Kurc, T.3    Heverhagen, J.T.4    Stevens, R.5    Orsdemir, A.6    Bulan, O.7    Knopp, M.V.8
  • 163
    • 33846920168 scopus 로고    scopus 로고
    • A model-based algorithm for mass segmentation in mammograms
    • Xu W, Xia S, Xiao M, Duan H A model-based algorithm for mass segmentation in mammograms. Conf Proc IEEE Eng Med Biol Soc 2005, 3:2543-2546.
    • (2005) Conf Proc IEEE Eng Med Biol Soc , vol.3 , pp. 2543-2546
    • Xu, W.1    Xia, S.2    Xiao, M.3    Duan, H.4
  • 164
    • 33845926248 scopus 로고    scopus 로고
    • Automated matching and segmentation of lymphoma on serial CT examinations
    • Yan J, Zhao B, Curran S, Zelenetz A, Schwartz LH Automated matching and segmentation of lymphoma on serial CT examinations. Med Phys 2007, 34(1):55-62.
    • (2007) Med Phys , vol.34 , Issue.1 , pp. 55-62
    • Yan, J.1    Zhao, B.2    Curran, S.3    Zelenetz, A.4    Schwartz, L.H.5
  • 166
    • 33749690210 scopus 로고
    • Automated detection of clustered microcalcifications in digital mammo-grams using wavelet transform techniques
    • Yoshida H, Doi K, Nishikawa RM Automated detection of clustered microcalcifications in digital mammo-grams using wavelet transform techniques. SPIE Image Processing 1994, 2167:868-886.
    • (1994) SPIE Image Processing , vol.2167 , pp. 868-886
    • Yoshida, H.1    Doi, K.2    Nishikawa, R.M.3
  • 168
    • 34548379518 scopus 로고    scopus 로고
    • Boundary delineation in transrectal ultrasound image for prostate cancer
    • [Epub ahead of print].
    • Zhang Y, Sankar R, Qian W Boundary delineation in transrectal ultrasound image for prostate cancer. Comput Biol Med 2007, 26(Apr 26). [Epub ahead of print].
    • (2007) Comput Biol Med , vol.26 , Issue.APR 26
    • Zhang, Y.1    Sankar, R.2    Qian, W.3
  • 169
    • 0031060807 scopus 로고    scopus 로고
    • Computerized tumor boundary detection using a Hopfield neural network
    • Zhu Y, Yan H Computerized tumor boundary detection using a Hopfield neural network. IEEE Trans Med Imag 1997, 16(1):55-67.
    • (1997) IEEE Trans Med Imag , vol.16 , Issue.1 , pp. 55-67
    • Zhu, Y.1    Yan, H.2
  • 170
    • 0942265691 scopus 로고    scopus 로고
    • Statistical validation of image segmentation quality based on a spatial overlap index
    • Zou KH, Wells WM, Kikinis R, Warfield SK Statistical validation of image segmentation quality based on a spatial overlap index. Acad Radiol 2004, 11(2):178-189.
    • (2004) Acad Radiol , vol.11 , Issue.2 , pp. 178-189
    • Zou, K.H.1    Wells, W.M.2    Kikinis, R.3    Warfield, S.K.4
  • 171
    • 0016993605 scopus 로고
    • Region growing: Childhood and adolescence
    • Zucker SW Region growing: Childhood and adolescence. Comp Graphics Image Proc 1976, 5:382-399.
    • (1976) Comp Graphics Image Proc , vol.5 , pp. 382-399
    • Zucker, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.