메뉴 건너뛰기




Volumn 35, Issue 4, 2015, Pages 1056-1076

Segmentation and image analysis of abnormal lungs at CT: Current approaches, challenges, and future trends

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; FORECASTING; HUMAN; IMAGE SUBTRACTION; LUNG; LUNG DISEASE; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY; TRENDS; X-RAY COMPUTED TOMOGRAPHY;

EID: 84937574596     PISSN: 02715333     EISSN: 15271323     Source Type: Journal    
DOI: 10.1148/rg.2015140232     Document Type: Article
Times cited : (236)

References (68)
  • 1
    • 0034310653 scopus 로고    scopus 로고
    • Significant savings in radiologic report turnaround time after implementation of a complete picture archiving and communication system (PACS
    • Twair AA, Torreggiani WC, Mahmud SM, Ramesh N, Hogan B. Significant savings in radiologic report turnaround time after implementation of a complete picture archiving and communication system (PACS). J Digit Imaging 2000;13(4):175-177.
    • (2000) J Digit Imaging , vol.13 , Issue.4 , pp. 175-177
    • Twair, A.A.1    Torreggiani, W.C.2    Mahmud, S.M.3    Ramesh, N.4    Hogan, B.5
  • 2
    • 0035354205 scopus 로고    scopus 로고
    • Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images
    • Hu S, Hoffman EA, Reinhardt JM. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans Med Imaging 2001;20(6):490-498.
    • (2001) IEEE Trans Med Imaging , vol.20 , Issue.6 , pp. 490-498
    • Hu, S.1    Hoffman, E.A.2    Reinhardt, J.M.3
  • 3
    • 84857951140 scopus 로고    scopus 로고
    • Hierarchical scale-based multiobject recognition of 3-D anatomical structures
    • Bagci U, Chen X, Udupa JK. Hierarchical scale-based multiobject recognition of 3-D anatomical structures. IEEE Trans Med Imaging 2012;31(3):777-789.
    • (2012) IEEE Trans Med Imaging , vol.31 , Issue.3 , pp. 777-789
    • Bagci, U.1    Chen, X.2    Udupa, J.K.3
  • 4
    • 0018367382 scopus 로고
    • A computational theory of human stereo vision
    • Marr D, Poggio T. A computational theory of human stereo vision. Proc R Soc Lond B Biol Sci 1979;204(1156):301-328.
    • (1979) Proc R Soc Lond B Biol Sci , vol.204 , Issue.1156 , pp. 301-328
    • Marr, D.1    Poggio, T.2
  • 5
    • 84889690418 scopus 로고    scopus 로고
    • Vision: Are models of object recognition catching up with the brain?
    • Poggio T, Ullman S. Vision: are models of object recognition catching up with the brain? Ann N Y Acad Sci 2013;1305: 72-82
    • (2013) Ann N Y Acad Sci , vol.1305 , pp. 72-82
    • Poggio, T.1    Ullman, S.2
  • 7
    • 0018484144 scopus 로고
    • Bandpass channels, zero-crossings, and early visual information processing
    • Marr D, Ullman S, Poggio T. Bandpass channels, zero-crossings, and early visual information processing. J Opt Soc Am 1979;69(6):914-916.
    • (1979) J Opt Soc Am , vol.69 , Issue.6 , pp. 914-916
    • Marr, D.1    Ullman, S.2    Poggio, T.3
  • 8
    • 84859068489 scopus 로고    scopus 로고
    • Medical image segmentation by combining graph cuts and oriented active appearance models
    • Chen X, Udupa JK, Bagci U, Zhuge Y, Yao J. Medical image segmentation by combining graph cuts and oriented active appearance models. IEEE Trans Image Process 2012;21(4):2035-2046.
    • (2012) IEEE Trans Image Process , vol.21 , Issue.4 , pp. 2035-2046
    • Chen, X.1    Udupa, J.K.2    Bagci, U.3    Zhuge, Y.4    Yao, J.5
  • 9
    • 84881243917 scopus 로고    scopus 로고
    • Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation
    • Bagci U, Kramer-Marek G, Mollura DJ. Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation. EJNMMI Res 2013;3(1):49.
    • (2013) EJNMMI Res , vol.3 , Issue.1
    • Bagci, U.1    Kramer-Marek, G.2    Mollura, D.J.3
  • 10
    • 33645683455 scopus 로고    scopus 로고
    • Computer analysis of computed tomography scans of the lung: A survey
    • Sluimer I, Schilham A, Prokop M, van Ginneken B. Computer analysis of computed tomography scans of the lung: a survey. IEEE Trans Med Imaging 2006;25(4): 385-405.
    • (2006) IEEE Trans Med Imaging , vol.25 , Issue.4 , pp. 385-405
    • Sluimer, I.1    Schilham, A.2    Prokop, M.3    Van Ginneken, B.4
  • 11
    • 4544277237 scopus 로고    scopus 로고
    • Automated lung segmentation for thoracic CT impact on computer-aided diagnosis
    • Armato SG, Sensakovic WF. Automated lung segmentation for thoracic CT impact on computer-aided diagnosis. Acad Radiol 2004;11(9):1011-1021.
    • (2004) Acad Radiol , vol.11 , Issue.9 , pp. 1011-1021
    • Armato, S.G.1    Sensakovic, W.F.2
  • 13
    • 84881257487 scopus 로고    scopus 로고
    • A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging
    • Bagci U, Foster B, Miller-Jaster K, et al. A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging. EJNMMI Res 2013;3(1):55.
    • (2013) EJNMMI Res , vol.3 , Issue.1
    • Bagci, U.1    Foster, B.2    Miller-Jaster, K.3
  • 14
    • 84896758479 scopus 로고    scopus 로고
    • Volumetric analysis of lung nodules in computed tomography (CT): Comparison of two different segmentation algorithm softwares and two different reconstruction filters on automated volume calculation
    • Christe A, Brönnimann A, Vock P. Volumetric analysis of lung nodules in computed tomography (CT): comparison of two different segmentation algorithm softwares and two different reconstruction filters on automated volume calculation. Acta Radiol 2014;55(1):54-61.
    • (2014) Acta Radiol , vol.55 , Issue.1 , pp. 54-61
    • Christe, A.1    Brönnimann, A.2    Vock, P.3
  • 15
    • 84870830529 scopus 로고    scopus 로고
    • Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis
    • Cui H, Wang X, Feng D. Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis. Conf Proc IEEE Eng Med Biol Soc 2012;2012:5384-5387.
    • (2012) Conf Proc IEEE Eng Med Biol Soc , vol.2012 , pp. 5384-5387
    • Cui, H.1    Wang, X.2    Feng, D.3
  • 16
    • 82155191313 scopus 로고    scopus 로고
    • Automated segmentation refinement of small lung nodules in CT scans by local shape analysis
    • Diciotti S, Lombardo S, Falchini M, Picozzi G, Mascalchi M. Automated segmentation refinement of small lung nodules in CT scans by local shape analysis. IEEE Trans Biomed Eng 2011;58(12):3418-3428.
    • (2011) IEEE Trans Biomed Eng , vol.58 , Issue.12 , pp. 3418-3428
    • Diciotti, S.1    Lombardo, S.2    Falchini, M.3    Picozzi, G.4    Mascalchi, M.5
  • 17
    • 84902083713 scopus 로고    scopus 로고
    • Recombinant human factor VIIa for alveolar hemorrhage following allogeneic stem cell transplantation
    • Elinoff JM, Bagci U, Moriyama B, et al. Recombinant human factor VIIa for alveolar hemorrhage following allogeneic stem cell transplantation. Biol Blood Marrow Transplant 2014;20(7):969-978.
    • (2014) Biol Blood Marrow Transplant , vol.20 , Issue.7 , pp. 969-978
    • Elinoff, J.M.1    Bagci, U.2    Moriyama, B.3
  • 18
    • 84881620146 scopus 로고    scopus 로고
    • Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography
    • Guo Y, Zhou C, Chan HP, et al. Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography. Med Phys 2013;40(8):081912.
    • (2013) Med Phys , vol.40 , Issue.8
    • Guo, Y.1    Zhou, C.2    Chan, H.P.3
  • 19
    • 84856751385 scopus 로고    scopus 로고
    • Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach
    • Sun S, Bauer C, Beichel R. Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach. IEEE Trans Med Imaging 2012;31(2):449-460.
    • (2012) IEEE Trans Med Imaging , vol.31 , Issue.2 , pp. 449-460
    • Sun, S.1    Bauer, C.2    Beichel, R.3
  • 20
    • 70349664188 scopus 로고    scopus 로고
    • Automated segmentation of lungs with severe interstitial lung disease in CT
    • Wang J, Li F, Li Q. Automated segmentation of lungs with severe interstitial lung disease in CT. Med Phys 2009;36(10):4592-4599.
    • (2009) Med Phys , vol.36 , Issue.10 , pp. 4592-4599
    • Wang, J.1    Li, F.2    Li, Q.3
  • 21
    • 84889677853 scopus 로고    scopus 로고
    • Computer-aided detection and quantification of cavitary tuberculosis from CT scans
    • Xu Z, Bagci U, Kubler A, et al. Computer-aided detection and quantification of cavitary tuberculosis from CT scans. Med Phys 2013;40(11):113701.
    • (2013) Med Phys , vol.40 , Issue.11
    • Xu, Z.1    Bagci, U.2    Kubler, A.3
  • 22
    • 54049155078 scopus 로고    scopus 로고
    • Adaptive border marching algorithm: Automatic lung segmentation on chest CT images
    • Pu J, Roos J, Yi CA, Napel S, Rubin GD, Paik DS. Adaptive border marching algorithm: automatic lung segmentation on chest CT images. Comput Med Imaging Graph 2008;32(6):452-462.
    • (2008) Comput Med Imaging Graph , vol.32 , Issue.6 , pp. 452-462
    • Pu, J.1    Roos, J.2    Yi, C.A.3    Napel, S.4    Rubin, G.D.5    Paik, D.S.6
  • 23
    • 5644295486 scopus 로고    scopus 로고
    • Lung field seg- mentation from thin-slice CT scans in presence of severe pathology
    • Fitzpatrick JM, Sonka M, Bellingham, Wash: International Society for Optical Engineering
    • Sluimer IC, Niemeijer M, van Ginneken B. Lung field seg- mentation from thin-slice CT scans in presence of severe pathology. In: Fitzpatrick JM, Sonka M, eds. Proceedings of SPIE: medical imaging 2004—image processing. Vol 5370. Bellingham, Wash: International Society for Optical Engineering, 2004; 1447.
    • (2004) Proceedings of SPIE: Medical Imaging 2004—image Processing , vol.5370
    • Sluimer, I.C.1    Niemeijer, M.2    Van Ginneken, B.3
  • 24
    • 84879942440 scopus 로고    scopus 로고
    • Automatic segmentation and measurement of pleural effusions on CT
    • Yao J, Bliton J, Summers RM. Automatic segmentation and measurement of pleural effusions on CT. IEEE Trans Biomed Eng 2013;60(7):1834-1840.
    • (2013) IEEE Trans Biomed Eng , vol.60 , Issue.7 , pp. 1834-1840
    • Yao, J.1    Bliton, J.2    Summers, R.M.3
  • 25
    • 84914162074 scopus 로고    scopus 로고
    • A generic approach to pathological lung segmentation
    • Mansoor A, Bagci U, Xu Z, et al. A generic approach to pathological lung segmentation. IEEE Trans Med Imaging 2014;33(12):2293-2310
    • (2014) IEEE Trans Med Imaging , vol.33 , Issue.12 , pp. 2293-2310
    • Mansoor, A.1    Bagci, U.2    Xu, Z.3
  • 26
    • 23844550632 scopus 로고    scopus 로고
    • Toward automated segmentation of the pathological lung in CT
    • Sluimer I, Prokop M, van Ginneken B. Toward automated segmentation of the pathological lung in CT. IEEE Trans Med Imaging 2005;24(8):1025-1038.
    • (2005) IEEE Trans Med Imaging , vol.24 , Issue.8 , pp. 1025-1038
    • Sluimer, I.1    Prokop, M.2    Van Ginneken, B.3
  • 27
    • 84884608688 scopus 로고    scopus 로고
    • Consistency and efficiency of CT analysis of metastatic disease: Semiautomated lesion management application within a PACS
    • Folio LR, Sandouk A, Huang J, Solomon JM, Apolo AB. Consistency and efficiency of CT analysis of metastatic disease: semiautomated lesion management application within a PACS. AJR Am J Roentgenol 2013;201(3):618-625.
    • (2013) AJR am J Roentgenol , vol.201 , Issue.3 , pp. 618-625
    • Folio, L.R.1    Sandouk, A.2    Huang, J.3    Solomon, J.M.4    Apolo, A.B.5
  • 30
    • 0031283426 scopus 로고    scopus 로고
    • Method for segmenting chest CT image data using an anatomical model: Preliminary results
    • Brown MS, McNitt-Gray MF, Mankovich NJ, et al. Method for segmenting chest CT image data using an anatomical model: preliminary results. IEEE TransMed Imaging 1997;16(6):828-839.
    • (1997) IEEE Transmed Imaging , vol.16 , Issue.6 , pp. 828-839
    • Brown, M.S.1    McNitt-Gray, M.F.2    Mankovich, N.J.3
  • 31
    • 0032443702 scopus 로고    scopus 로고
    • On segmentation of lung parenchyma in quantitative computed tomography of the lung
    • Kemerink GJ, Lamers RJ, Pellis BJ, Kruize HH, van Engelshoven JM. On segmentation of lung parenchyma in quantitative computed tomography of the lung. Med Phys 1998;25(12):2432-2439.
    • (1998) Med Phys , vol.25 , Issue.12 , pp. 2432-2439
    • Kemerink, G.J.1    Lamers, R.J.2    Pellis, B.J.3    Kruize, H.H.4    Van Engelshoven, J.M.5
  • 32
    • 0035134661 scopus 로고    scopus 로고
    • Chest CT: Automated nodule detection and assessment of change over time—preliminary experience
    • Ko JP, Betke M. Chest CT: automated nodule detection and assessment of change over time—preliminary experience. Radiology 2001;218(1):267-273.
    • (2001) Radiology , vol.218 , Issue.1 , pp. 267-273
    • Ko, J.P.1    Betke, M.2
  • 33
    • 0042819760 scopus 로고    scopus 로고
    • Image annotation for conveying automated lung nodule detection results to radiologists
    • Armato SG. Image annotation for conveying automated lung nodule detection results to radiologists. Acad Radiol 2003;10(9):1000-1007.
    • (2003) Acad Radiol , vol.10 , Issue.9 , pp. 1000-1007
    • Armato, S.G.1
  • 34
    • 20444422914 scopus 로고    scopus 로고
    • Computerized analysis of mesothelioma on CT scans
    • Armato SG. Computerized analysis of mesothelioma on CT scans. Lung Cancer 2005;49(suppl 1):S41-S44
    • (2005) Lung Cancer , vol.49 , pp. S41-S44
    • Armato, S.G.1
  • 35
    • 0038038910 scopus 로고    scopus 로고
    • Automated lung nodule classification following automated nodule detection on CT: A serial approach
    • Armato SG, Altman MB, Wilkie J, et al. Automated lung nodule classification following automated nodule detection on CT: a serial approach. Med Phys 2003;30(6): 1188-1197.
    • (2003) Med Phys , vol.30 , Issue.6 , pp. 1188-1197
    • Armato, S.G.1    Altman, M.B.2    Wilkie, J.3
  • 38
    • 36148953914 scopus 로고    scopus 로고
    • The Lung Image Database Consortium (LIDC): A comparison of different size metrics for pulmonary nodule measurements
    • Reeves AP, Biancardi AM, Apanasovich TV, et al. The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. Acad Radiol 2007;14(12):1475-1485.
    • (2007) Acad Radiol , vol.14 , Issue.12 , pp. 1475-1485
    • Reeves, A.P.1    Biancardi, A.M.2    Apanasovich, T.V.3
  • 39
    • 33645519992 scopus 로고    scopus 로고
    • Automated detection of lung nodules in CT scans: False-positive reduction with the radial-gradient index
    • Roy AS, Armato SG, Wilson A, Drukker K. Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index. Med Phys 2006;33(4):1133-1140.
    • (2006) Med Phys , vol.33 , Issue.4 , pp. 1133-1140
    • Roy, A.S.1    Armato, S.G.2    Wilson, A.3    Drukker, K.4
  • 43
    • 0031189783 scopus 로고    scopus 로고
    • A region growing and merging algorithm to color segmentation
    • Tremeau A, Borel N. A region growing and merging algorithm to color segmentation. Pattern Recognit 1997;30(7):1191-1203.
    • (1997) Pattern Recognit , vol.30 , Issue.7 , pp. 1191-1203
    • Tremeau, A.1    Borel, N.2
  • 44
    • 0030247213 scopus 로고    scopus 로고
    • Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation
    • Zhu SC, Yuille A. Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation. IEEE Trans Pattern Anal Mach Intell 1996;18 (9):884-900.
    • (1996) IEEE Trans Pattern Anal Mach Intell , vol.18 , Issue.9 , pp. 884-900
    • Zhu, S.C.1    Yuille, A.2
  • 45
    • 0033207260 scopus 로고    scopus 로고
    • Partitioning 3D surface meshes using watershed segmentation
    • Mangan AP, Whitaker RT. Partitioning 3D surface meshes using watershed segmentation. IEEE Trans Vis Comput Graph 1999;5(4):308-321.
    • (1999) IEEE Trans Vis Comput Graph , vol.5 , Issue.4 , pp. 308-321
    • Mangan, A.P.1    Whitaker, R.T.2
  • 46
    • 84945587543 scopus 로고    scopus 로고
    • Interactive organ segmentation using graph cuts
    • Delp SL, DiGoia AM, Jaramaz B, Berlin, Germany: Springer-Verlag
    • Boykov Y, Jolly MP. Interactive organ segmentation using graph cuts. In: Delp SL, DiGoia AM, Jaramaz B, eds. Medical Image Computing and Computer-assisted Intervention: MICCAI 2000. Berlin, Germany: Springer-Verlag, 2000; 276-286.
    • (2000) Medical Image Computing and Computer-Assisted Intervention: , pp. 276-286
    • Boykov, Y.1    Jolly, M.P.2
  • 47
    • 33846207510 scopus 로고    scopus 로고
    • Random walks for image segmentation
    • Grady L. Random walks for image segmentation. IEEE Trans Pattern Anal Mach Intell 2006;28(11):1768-1783.
    • (2006) IEEE Trans Pattern Anal Mach Intell , vol.28 , Issue.11 , pp. 1768-1783
    • Grady, L.1
  • 48
    • 0030145389 scopus 로고    scopus 로고
    • Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation
    • Udupa JK, Samarasekera S. Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation. Graph Models Image Proc 1996;58(3): 246-261.
    • (1996) Graph Models Image Proc , vol.58 , Issue.3 , pp. 246-261
    • Udupa, J.K.1    Samarasekera, S.2
  • 49
    • 84896539059 scopus 로고    scopus 로고
    • Spatially constrained random walk approach for accurate estimation of airway wall surfaces
    • Xu Z, Bagci U, Foster B, Mansoor A, Mollura DJ. Spatially constrained random walk approach for accurate estimation of airway wall surfaces. Med Image Comput Comput Assist Interv 2013;16(pt 2):559-566.
    • (2013) Med Image Comput Comput Assist Interv , vol.16 , Issue.2 , pp. 559-566
    • Xu, Z.1    Bagci, U.2    Foster, B.3    Mansoor, A.4    Mollura, D.J.5
  • 50
    • 0345073632 scopus 로고    scopus 로고
    • Establishing a normative atlas of the human lung: Intersubject warping and registration of volumetric CT images
    • Li B, Christensen GE, Hoffman EA, McLennan G, Reinhardt JM. Establishing a normative atlas of the human lung: intersubject warping and registration of volumetric CT images. Acad Radiol 2003;10(3):255-265.
    • (2003) Acad Radiol , vol.10 , Issue.3 , pp. 255-265
    • Li, B.1    Christensen, G.E.2    Hoffman, E.A.3    McLennan, G.4    Reinhardt, J.M.5
  • 51
    • 0033737412 scopus 로고    scopus 로고
    • Reinhardt JM. 3D pulmonary CT image registra- tion with a standard lung atlas
    • Chen CT, Clough AV, Bellingham, Wash: International Society for Optical Engineering
    • Zhang L, Reinhardt JM. 3D pulmonary CT image registra- tion with a standard lung atlas. In: Chen CT, Clough AV, eds. Proceedings of SPIE: medical imaging 2000—physiology and function from multidimensional images. Vol 3978. Bellingham, Wash: International Society for Optical Engineering, 2000; 67.
    • (2000) Proceedings of SPIE: Medical Imaging 2000—physiology and Function from Multidimensional Images , vol.3978
    • Zhang, L.1
  • 52
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • Xu C, Prince JL. Snakes, shapes, and gradient vector flow. IEEE Trans Image Process 1998;7(3):359-369.
    • (1998) IEEE Trans Image Process , vol.7 , Issue.3 , pp. 359-369
    • Xu, C.1    Prince, J.L.2
  • 53
    • 0036891794 scopus 로고    scopus 로고
    • A multiphase level set framework for image segmentation using the Mumford and Shah model
    • Vese LA, Chan TF. A multiphase level set framework for image segmentation using the Mumford and Shah model. Int J Comput Vis 2002;50(3):271-293.
    • (2002) Int J Comput Vis , vol.50 , Issue.3 , pp. 271-293
    • Vese, L.A.1    Chan, T.F.2
  • 54
    • 80055033126 scopus 로고    scopus 로고
    • Segmentation of pathological and diseased lung tissue in CT images using a graphsearch algorithm
    • New York, NY: Institute of Electrical and Electronics Engineers
    • Hua P, Song Q, Sonka M, et al. Segmentation of pathological and diseased lung tissue in CT images using a graphsearch algorithm. In: IEEE International Symposium on Biomedical Imaging: from nano to macro. New York, NY: Institute of Electrical and Electronics Engineers, 2011; 2072-2075.
    • (2011) IEEE International Symposium on Biomedical Imaging: From Nano to Macro , pp. 2072-2075
    • Hua, P.1    Song, Q.2    Sonka, M.3
  • 55
    • 84875992416 scopus 로고    scopus 로고
    • Feature-based image patch approximation for lung tissue classification
    • Song Y, Cai W, Zhou Y, Feng DD. Feature-based image patch approximation for lung tissue classification. IEEE Trans Med Imaging 2013;32(4):797-808.
    • (2013) IEEE Trans Med Imaging , vol.32 , Issue.4 , pp. 797-808
    • Song, Y.1    Cai, W.2    Zhou, Y.3    Feng, D.D.4
  • 56
    • 33645675961 scopus 로고    scopus 로고
    • MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies
    • Xu Y, Sonka M, McLennan G, Guo J, Hoffman EA. MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies. IEEE Trans Med Imaging 2006;25(4):464-475.
    • (2006) IEEE Trans Med Imaging , vol.25 , Issue.4 , pp. 464-475
    • Xu, Y.1    Sonka, M.2    McLennan, G.3    Guo, J.4    Hoffman, E.A.5
  • 57
    • 79551563631 scopus 로고    scopus 로고
    • Computer-aided diagnosis of pulmonary infections using texture analysis and support vector machine classification
    • Yao J, Dwyer A, Summers RM, Mollura DJ. Computer-aided diagnosis of pulmonary infections using texture analysis and support vector machine classification. Acad Radiol 2011;18(3):306-314.
    • (2011) Acad Radiol , vol.18 , Issue.3 , pp. 306-314
    • Yao, J.1    Dwyer, A.2    Summers, R.M.3    Mollura, D.J.4
  • 59
    • 84861385969 scopus 로고    scopus 로고
    • Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans
    • Bagci U, Yao J, Wu A, et al. Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans. IEEE Trans Biomed Eng 2012;59(6):1620-1632.
    • (2012) IEEE Trans Biomed Eng , vol.59 , Issue.6 , pp. 1620-1632
    • Bagci, U.1    Yao, J.2    Wu, A.3
  • 60
    • 84883170976 scopus 로고    scopus 로고
    • Automated segmentation of pulmonary structures in thoracic computed tomography scans: A review
    • van Rikxoort EM, van Ginneken B. Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review. Phys Med Biol 2013;58(17): R187-R220.
    • (2013) Phys Med Biol , vol.58 , Issue.17 , pp. R187-R220
    • Van Rikxoort, E.M.1    Van Ginneken, B.2
  • 61
    • 84864855977 scopus 로고    scopus 로고
    • Automatic quantification of tree-in-bud patterns from CT scans
    • Bagci U, Miller-Jaster K, Yao J, et al. Automatic quantification of tree-in-bud patterns from CT scans. Proc IEEE Int Symp Biomed Imaging 2012;2012:1459-1462.
    • (2012) Proc IEEE Int Symp Biomed Imaging , vol.2012 , pp. 1459-1462
    • Bagci, U.1    Miller-Jaster, K.2    Yao, J.3
  • 64
    • 84055198308 scopus 로고    scopus 로고
    • Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features
    • Caban JJ, Yao J, Bagci U, Mollura DJ. Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features. Conf Proc IEEE Eng Med Biol Soc 2011;2011:6216-6219.
    • (2011) Conf Proc IEEE Eng Med Biol Soc , vol.2011 , pp. 6216-6219
    • Caban, J.J.1    Yao, J.2    Bagci, U.3    Mollura, D.J.4
  • 65
    • 33645875612 scopus 로고    scopus 로고
    • A framework for evaluating image segmentation algorithms
    • Udupa JK, Leblanc VR, Zhuge Y, et al. A framework for evaluating image segmentation algorithms. Comput Med Imaging Graph 2006;30(2):75-87.
    • (2006) Comput Med Imaging Graph , vol.30 , Issue.2 , pp. 75-87
    • Udupa, J.K.1    Leblanc, V.R.2    Zhuge, Y.3
  • 67
    • 1642580603 scopus 로고    scopus 로고
    • Pulmonary nodules at chest CT: Effect of computer-aided diagnosis on radiologists’ detection performance
    • Awai K, Murao K, Ozawa A, et al. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists’ detection performance. Radiology 2004;230(2):347-352.
    • (2004) Radiology , vol.230 , Issue.2 , pp. 347-352
    • Awai, K.1    Murao, K.2    Ozawa, A.3
  • 68
    • 6344221607 scopus 로고    scopus 로고
    • Computer-aided diagnosis of solid breast nodules: Use of an artificial neural network based on multiple sonographic features
    • Joo S, Yang YS, Moon WK, Kim HC. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features. IEEE Trans Med Imaging 2004;23(10):1292-1300
    • (2004) IEEE Trans Med Imaging , vol.23 , Issue.10 , pp. 1292-1300
    • Joo, S.1    Yang, Y.S.2    Moon, W.K.3    Kim, H.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.