메뉴 건너뛰기




Volumn 26, Issue 6, 2013, Pages 1058-1070

Characterization of primary and secondary malignant liver lesions from B-mode ultrasound

Author keywords

Atypical metastasis; B Mode liver ultrasound; Focal liver lesions; Genetic algorithm; Hepatocellular carcinoma; Large hepatocellular carcinoma; Metastasis; Primary malignant liver lesion; Secondary malignant liver lesion; Small hepatocellular carcinoma; Support vector machine classifier; Texture analysis; Typical metastasis

Indexed keywords

ATYPICAL METASTASIS; FOCAL LIVER LESIONS; HEPATOCELLULAR CARCINOMA; LIVER LESIONS; LIVER ULTRASOUNDS; METASTASIS; SUPPORT VECTOR MACHINE CLASSIFIERS; TEXTURE ANALYSIS; TYPICAL METASTASIS;

EID: 84888197907     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-013-9578-7     Document Type: Article
Times cited : (71)

References (43)
  • 3
    • 33846548086 scopus 로고    scopus 로고
    • The use of contrast-enhanced ultrasound in the characterization of focal liver lesions
    • 17288301 1:STN:280:DC%2BD2s%2FptFSlsg%3D%3D
    • Soye JA, Mullan CP, Porter S, Beattie H, Barltrop AH, Nelson WM: The use of contrast-enhanced ultrasound in the characterization of focal liver lesions. Ulster Med J 76(1):22-25, 2007
    • (2007) Ulster Med J , vol.76 , Issue.1 , pp. 22-25
    • Soye, J.A.1    Mullan, C.P.2    Porter, S.3    Beattie, H.4    Barltrop, A.H.5    Nelson, W.M.6
  • 5
    • 84877756286 scopus 로고    scopus 로고
    • Ultrasound of focal liver lesions
    • Harding J, Callaway M: Ultrasound of focal liver lesions. Rad Magazine 36(424):33-34, 2010
    • (2010) Rad Magazine , vol.36 , Issue.424 , pp. 33-34
    • Harding, J.1    Callaway, M.2
  • 7
    • 0017691437 scopus 로고
    • Gray scale echo graphic patterns of hepatic metastatic disease
    • 10.2214/ajr.129.6.983 1:STN:280:DyaE1c%2FnvVSgtw%3D%3D
    • Scheible W, Gossink BB, Leopold G: Gray scale echo graphic patterns of hepatic metastatic disease. Am J Roentgenol 129:983-987, 1977
    • (1977) Am J Roentgenol , vol.129 , pp. 983-987
    • Scheible, W.1    Gossink, B.B.2    Leopold, G.3
  • 8
    • 79953734828 scopus 로고    scopus 로고
    • Neural network based focal liver lesion diagnosis using ultrasound images
    • 10.1016/j.compmedimag.2011.01.007
    • Mittal D, Kumar V, Saxena SC, Khandelwal N, Kalra N: Neural network based focal liver lesion diagnosis using ultrasound images. Int J Comput Med Imaging Graph 35(4):315-323, 2011
    • (2011) Int J Comput Med Imaging Graph , vol.35 , Issue.4 , pp. 315-323
    • Mittal, D.1    Kumar, V.2    Saxena, S.C.3    Khandelwal, N.4    Kalra, N.5
  • 9
    • 2942717172 scopus 로고    scopus 로고
    • A study of ultrasonic liver images classification with artificial neural networks based on fractal geometry and multiresolution analysis
    • 10.4015/S1016237204000104
    • Lee WL, Hsieh KS, Chen YC: A study of ultrasonic liver images classification with artificial neural networks based on fractal geometry and multiresolution analysis. Biomed Eng Appl Basis Commun 16(2):59-67, 2004
    • (2004) Biomed Eng Appl Basis Commun , vol.16 , Issue.2 , pp. 59-67
    • Lee, W.L.1    Hsieh, K.S.2    Chen, Y.C.3
  • 10
    • 0030443396 scopus 로고    scopus 로고
    • Application of artificial neural networks for the classification of liver lesions by image texture parameters
    • 9123642 10.1016/S0301-5629(96)00144-5 1:STN:280:DyaK2s7nslOgsQ%3D%3D
    • Sujana S, Swarnamani S, Suresh S: Application of artificial neural networks for the classification of liver lesions by image texture parameters. Ultrasound Med Biol 22(9):1177-1181, 1996
    • (1996) Ultrasound Med Biol , vol.22 , Issue.9 , pp. 1177-1181
    • Sujana, S.1    Swarnamani, S.2    Suresh, S.3
  • 12
    • 0344466493 scopus 로고    scopus 로고
    • Wavelet packet based texture analysis for differentiation between benign and malignant liver tumors in ultrasound images
    • 14680270 10.1088/0031-9155/48/22/008
    • Yoshida H, Casalino DD, Keserci B, Coskun A, Ozturk O, Savranlar A: Wavelet packet based texture analysis for differentiation between benign and malignant liver tumors in ultrasound images. Phys Med Biol 48:3735-3753, 2003
    • (2003) Phys Med Biol , vol.48 , pp. 3735-3753
    • Yoshida, H.1    Casalino, D.D.2    Keserci, B.3    Coskun, A.4    Ozturk, O.5    Savranlar, A.6
  • 13
    • 0030215027 scopus 로고    scopus 로고
    • Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images
    • 18215928 10.1109/42.511750 1:STN:280:DC%2BD1c%2FmtlOksw%3D%3D
    • Kadah YM, Farag AA, Zurada JM, Badawi AM, Youssef AM: Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images. IEEE Trans Med Imaging 15(4):466-478, 1996
    • (1996) IEEE Trans Med Imaging , vol.15 , Issue.4 , pp. 466-478
    • Kadah, Y.M.1    Farag, A.A.2    Zurada, J.M.3    Badawi, A.M.4    Youssef, A.M.5
  • 14
    • 0032828742 scopus 로고    scopus 로고
    • Fuzzy logic algorithm for quantitative tissue characterization of diffuse liver diseases from ultrasound images
    • 10.1016/S1386-5056(99)00010-6 1:STN:280:DyaK1MvlvVCisA%3D%3D
    • Badawi AM, Derbala AS, Youssef ABM: Fuzzy logic algorithm for quantitative tissue characterization of diffuse liver diseases from ultrasound images. Int J Med Inf 55:135-147, 1999
    • (1999) Int J Med Inf , vol.55 , pp. 135-147
    • Badawi, A.M.1    Derbala, A.S.2    Youssef, A.B.M.3
  • 16
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges CJC: A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2(2):1-43, 1998
    • (1998) Data Min Knowl Disc , vol.2 , Issue.2 , pp. 1-43
    • Burges, C.J.C.1
  • 17
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, Vapnik V: Gene selection for cancer classification using support vector machines. J Machine Learn 46(1-3):1-39, 2002
    • (2002) J Machine Learn , vol.46 , Issue.1-3 , pp. 1-39
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 18
    • 84877779740 scopus 로고    scopus 로고
    • SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors
    • doi: 10.1007/s10278-012-9537-8
    • Virmani J, Kumar V, Kalra N, Khandelwal N: SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors. J Digit Imaging, 2012. doi: 10.1007/s10278-012-9537-8
    • (2012) J Digit Imaging
    • Virmani, J.1    Kumar, V.2    Kalra, N.3    Khandelwal, N.4
  • 22
    • 53149141006 scopus 로고    scopus 로고
    • Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound
    • 18383556 10.1002/uog.5205
    • Huang YL, Chen DR, Jiang YR, Kuo J, Wu HK, Moon WK: Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound. Ultrasound Obstet Gynecol 32:565-572, 2008
    • (2008) Ultrasound Obstet Gynecol , vol.32 , pp. 565-572
    • Huang, Y.L.1    Chen, D.R.2    Jiang, Y.R.3    Kuo, J.4    Wu, H.K.5    Moon, W.K.6
  • 24
    • 31944443382 scopus 로고    scopus 로고
    • Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines
    • 10.1007/s00521-005-0019-5
    • Huang YL, Wang KL, Chen DR: Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines. Neural Comput & Applic 15:164-169, 2006
    • (2006) Neural Comput & Applic , vol.15 , pp. 164-169
    • Huang, Y.L.1    Wang, K.L.2    Chen, D.R.3
  • 27
    • 84867303561 scopus 로고    scopus 로고
    • Automated classification of liver disorders using ultrasound images
    • doi: 10.1007/s10916-011-9803-1
    • Minhas F, Sabih D, Hussain M: Automated classification of liver disorders using ultrasound images. J Med Syst, 2011. doi: 10.1007/s10916-011-9803-1
    • (2011) J Med Syst
    • Minhas, F.1    Sabih, D.2    Hussain, M.3
  • 29
    • 0001416258 scopus 로고
    • Texture analysis using gray level run lengths
    • 10.1016/S0146-664X(75)80008-6
    • Galloway RMM: Texture analysis using gray level run lengths. Comput Graphics Image Processing 4:172-179, 1975
    • (1975) Comput Graphics Image Processing , vol.4 , pp. 172-179
    • Galloway, R.M.M.1
  • 30
    • 0025585326 scopus 로고
    • Use of gray value distribution of run lengths for texture analysis
    • 10.1016/0167-8655(90)90112-F
    • Chu A, Sehgal CM, Greenleaf JF: Use of gray value distribution of run lengths for texture analysis. Pattern Recognition Lett 11:415-420, 1990
    • (1990) Pattern Recognition Lett , vol.11 , pp. 415-420
    • Chu, A.1    Sehgal, C.M.2    Greenleaf, J.F.3
  • 31
    • 0026276969 scopus 로고
    • Image characterizations based on joint gray level-run length distributions
    • 10.1016/0167-8655(91)80014-2
    • Dasarathy BV, Holder EB: Image characterizations based on joint gray level-run length distributions. Pattern Recognition Lett 12:497-502, 1991
    • (1991) Pattern Recognition Lett , vol.12 , pp. 497-502
    • Dasarathy, B.V.1    Holder, E.B.2
  • 32
    • 0016939601 scopus 로고
    • A comparative study of texture measures for terrain classification
    • 10.1109/TSMC.1976.5408777
    • Weszka JS, Dyer CR, Rosenfeld A: A comparative study of texture measures for terrain classification. IEEE Trans Syst Man Cybern SMC-6(4):269-285, 1976
    • (1976) IEEE Trans Syst Man Cybern , vol.6 , Issue.4 , pp. 269-285
    • Weszka, J.S.1    Dyer, C.R.2    Rosenfeld, A.3
  • 35
    • 64749109749 scopus 로고    scopus 로고
    • Computer-aided image analysis of focal hepatic lesions in ultrasonography: Preliminary results
    • 18386094 10.1007/s00261-008-9383-9
    • Kim SH, Lee JM, Kim KG, Kim JH, Lee JY, Han JK, Choi BI: Computer-aided image analysis of focal hepatic lesions in ultrasonography: preliminary results. Abdom Imaging 34(2):183-91, 2009
    • (2009) Abdom Imaging , vol.34 , Issue.2 , pp. 183-191
    • Kim, S.H.1    Lee, J.M.2    Kim, K.G.3    Kim, J.H.4    Lee, J.Y.5    Han, J.K.6    Choi, B.I.7
  • 36
    • 53149141006 scopus 로고    scopus 로고
    • Computer aided diagnosis using morphological features for classifying breast lesions on ultrasound
    • 18383556 10.1002/uog.5205
    • Huang YL, Chen DR, Jiang YR, Kuo SJ, Wu HK, Moon WK: Computer aided diagnosis using morphological features for classifying breast lesions on ultrasound. Ultrasound Obstet Gynecol 32:565-572, 2008
    • (2008) Ultrasound Obstet Gynecol , vol.32 , pp. 565-572
    • Huang, Y.L.1    Chen, D.R.2    Jiang, Y.R.3    Kuo, S.J.4    Wu, H.K.5    Moon, W.K.6
  • 38
    • 84856233576 scopus 로고    scopus 로고
    • Highly sensitive computer aided diagnosis system for breast tumor based on color Doppler flow images
    • 20703733 10.1007/s10916-010-9461-8
    • Diao XF, Zhang XY, Wang TF, Chen SP, Yang Y, Zhong L: Highly sensitive computer aided diagnosis system for breast tumor based on color Doppler flow images. J Med Syst 35(5):801-809, 2011
    • (2011) J Med Syst , vol.35 , Issue.5 , pp. 801-809
    • Diao, X.F.1    Zhang, X.Y.2    Wang, T.F.3    Chen, S.P.4    Yang, Y.5    Zhong, L.6
  • 39
    • 33746947798 scopus 로고    scopus 로고
    • Classification of breast masses in mammograms using genetic programming and feature selection
    • 16937210 10.1007/s11517-006-0077-6 1:STN:280:DC%2BD28rht1Cgsg%3D%3D
    • Nandi RJ, Nandi AK, Rangayyan RM, Scutt D: Classification of breast masses in mammograms using genetic programming and feature selection. Med Biol Eng Comput 44(8):683-94, 2006
    • (2006) Med Biol Eng Comput , vol.44 , Issue.8 , pp. 683-694
    • Nandi, R.J.1    Nandi, A.K.2    Rangayyan, R.M.3    Scutt, D.4
  • 42
    • 42649103291 scopus 로고    scopus 로고
    • Laws' masks descriptors applied to bone texture analysis: An innovative and discriminant tool in osteoporosis
    • 18327577 10.1007/s00256-008-0463-2 1:STN:280:DC%2BD1crmvVCquw%3D%3D
    • Rachidi M, Marchadier A, Gadois C, Lespessailles E, Chappard C, Benhamou CL: Laws' masks descriptors applied to bone texture analysis: an innovative and discriminant tool in osteoporosis. Skeletal Radiol 37(6):541-548, 2008
    • (2008) Skeletal Radiol , vol.37 , Issue.6 , pp. 541-548
    • Rachidi, M.1    Marchadier, A.2    Gadois, C.3    Lespessailles, E.4    Chappard, C.5    Benhamou, C.L.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.