메뉴 건너뛰기




Volumn 131, Issue , 2016, Pages 127-141

Computational methods for the image segmentation of pigmented skin lesions: A review

Author keywords

Image acquisition; Image pre processing; Image segmentation; Pigmented skin lesion images

Indexed keywords

COMPUTATIONAL METHODS; DERMATOLOGY; DIAGNOSIS; IMAGE ACQUISITION; IMAGE PROCESSING;

EID: 84963576424     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2016.03.032     Document Type: Review
Times cited : (215)

References (100)
  • 2
    • 4243795083 scopus 로고    scopus 로고
    • accessed 08.10.15
    • British Association of Dermatologists Skin cancer accessed 08.10.15. http://www.bad.org.uk/for-the-public/skin-cancer/.
    • Skin cancer
  • 3
    • 84963564053 scopus 로고    scopus 로고
    • accessed 08.10.15
    • Cancer Research UK Cancer statistic report on skin cancer accessed 08.10.15. http://www.cancerresearchuk.org/health-professional/skin-cancer-statistics/.
    • Cancer statistic report on skin cancer
  • 4
    • 0003964363 scopus 로고    scopus 로고
    • American Cancer Society, Atlanta
    • American Cancer Society Cancer Facts & Figures 2014 2014, American Cancer Society, Atlanta.
    • (2014) Cancer Facts & Figures 2014
  • 7
    • 49949112001 scopus 로고    scopus 로고
    • An improved internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm
    • Iyatomi H., Oka H., Celebi M.E., Hashimoto M., Hagiwara M., Tanaka M., et al. An improved internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Comput. Med. Imaging Graph 2008, 32:566-579.
    • (2008) Comput. Med. Imaging Graph , vol.32 , pp. 566-579
    • Iyatomi, H.1    Oka, H.2    Celebi, M.E.3    Hashimoto, M.4    Hagiwara, M.5    Tanaka, M.6
  • 11
    • 0345276799 scopus 로고    scopus 로고
    • An artificially evolved vision system for segmenting skin lesion images
    • Springer, Berlin and Heidelberg, R. Ellis, T. Peters (Eds.)
    • Roberts M., Claridge E. An artificially evolved vision system for segmenting skin lesion images. Medical Image Computing and Computer-assisted Intervention 2003, 655-662. Springer, Berlin and Heidelberg. R. Ellis, T. Peters (Eds.).
    • (2003) Medical Image Computing and Computer-assisted Intervention , pp. 655-662
    • Roberts, M.1    Claridge, E.2
  • 13
    • 82155181618 scopus 로고    scopus 로고
    • Automatic skin lesion segmentation via iterative stochastic region merging
    • Wong A., Scharcanski J., Fieguth P. Automatic skin lesion segmentation via iterative stochastic region merging. IEEE Trans. Inf. Technol. Biomed 2011, 15:929-936.
    • (2011) IEEE Trans. Inf. Technol. Biomed , vol.15 , pp. 929-936
    • Wong, A.1    Scharcanski, J.2    Fieguth, P.3
  • 14
    • 68849098796 scopus 로고    scopus 로고
    • Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
    • Yuksel M.E., Borlu M. Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic. IEEE Trans. Fuzzy Syst 2009, 17:976-982.
    • (2009) IEEE Trans. Fuzzy Syst , vol.17 , pp. 976-982
    • Yuksel, M.E.1    Borlu, M.2
  • 16
    • 80655123491 scopus 로고    scopus 로고
    • Unsupervised skin lesions border detection via two-dimensional image analysis
    • Abbas Q., Fondón I., Rashid M. Unsupervised skin lesions border detection via two-dimensional image analysis. Comput. Methods Programs Biomed 2011, 104:e1-e15.
    • (2011) Comput. Methods Programs Biomed , vol.104 , pp. e1-e15
    • Abbas, Q.1    Fondón, I.2    Rashid, M.3
  • 17
    • 68049127804 scopus 로고    scopus 로고
    • An automatic based nonlinear diffusion equations scheme for skin lesion segmentation
    • Barcelos C.A.Z., Pires V.B. An automatic based nonlinear diffusion equations scheme for skin lesion segmentation. Appl. Math. Comput 2009, 215:251-261.
    • (2009) Appl. Math. Comput , vol.215 , pp. 251-261
    • Barcelos, C.A.Z.1    Pires, V.B.2
  • 20
    • 3242731230 scopus 로고    scopus 로고
    • Current technologies for the in vivo diagnosis of cutaneous melanomas
    • Wang S.Q., Rabinovitz H., Kopf A.W., Oliviero M. Current technologies for the in vivo diagnosis of cutaneous melanomas. Clin. Dermatol 2004, 22:217-222.
    • (2004) Clin. Dermatol , vol.22 , pp. 217-222
    • Wang, S.Q.1    Rabinovitz, H.2    Kopf, A.W.3    Oliviero, M.4
  • 21
    • 79960371051 scopus 로고    scopus 로고
    • State of the art in non-invasive imaging of cutaneous melanoma
    • Smith L., MacNeil S. State of the art in non-invasive imaging of cutaneous melanoma. Skin Res. Technol 2011, 17:257-269.
    • (2011) Skin Res. Technol , vol.17 , pp. 257-269
    • Smith, L.1    MacNeil, S.2
  • 22
    • 85011652391 scopus 로고    scopus 로고
    • Macroscopic pigmented skin lesion segmentation and its influence on lesion classification and diagnosis
    • Springer, The Netherlands, M.E. Celebi, G. Schaefer (Eds.)
    • Cavalcanti P.G., Scharcanski J. Macroscopic pigmented skin lesion segmentation and its influence on lesion classification and diagnosis. Color Medical Image Analysis 2013, 15-39. Springer, The Netherlands. M.E. Celebi, G. Schaefer (Eds.).
    • (2013) Color Medical Image Analysis , pp. 15-39
    • Cavalcanti, P.G.1    Scharcanski, J.2
  • 24
    • 84872138761 scopus 로고    scopus 로고
    • Lesion border detection in dermoscopy images using ensembles of thresholding methods
    • Celebi M.E., Wen Q., Hwang S., Iyatomi H., Schaefer G. Lesion border detection in dermoscopy images using ensembles of thresholding methods. Skin Res. Technol 2013, 19:e252-e258.
    • (2013) Skin Res. Technol , vol.19 , pp. e252-e258
    • Celebi, M.E.1    Wen, Q.2    Hwang, S.3    Iyatomi, H.4    Schaefer, G.5
  • 25
    • 84870869707 scopus 로고    scopus 로고
    • Computer-aided diagnosis of melanoma using border- and wavelet-based texture analysis
    • Garnavi R., Aldeen M., Bailey J. Computer-aided diagnosis of melanoma using border- and wavelet-based texture analysis. IEEE Trans. Inf. Technol. Biomed 2012, 16:1239-1252.
    • (2012) IEEE Trans. Inf. Technol. Biomed , vol.16 , pp. 1239-1252
    • Garnavi, R.1    Aldeen, M.2    Bailey, J.3
  • 26
    • 84863550895 scopus 로고    scopus 로고
    • Three-phase general border detection method for dermoscopy images using non-uniform illumination correction
    • Norton K.-A., Iyatomi H., Celebi M.E., Ishizaki S., Sawada M., Suzaki R., et al. Three-phase general border detection method for dermoscopy images using non-uniform illumination correction. Skin Res. Technol 2012, 18:290-300.
    • (2012) Skin Res. Technol , vol.18 , pp. 290-300
    • Norton, K.-A.1    Iyatomi, H.2    Celebi, M.E.3    Ishizaki, S.4    Sawada, M.5    Suzaki, R.6
  • 28
    • 84857587140 scopus 로고    scopus 로고
    • A novel perceptually-oriented approach for skin tumor segmentation
    • Abbas Q., Celebi M.E., Garcia I. A novel perceptually-oriented approach for skin tumor segmentation. Int. J. Innov. Comput. Inf. Control 2012, 8:1837-1848.
    • (2012) Int. J. Innov. Comput. Inf. Control , vol.8 , pp. 1837-1848
    • Abbas, Q.1    Celebi, M.E.2    Garcia, I.3
  • 29
    • 84872146020 scopus 로고    scopus 로고
    • A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images
    • Abbas Q., Garcia I.F., Celebi M.E., Ahmad W., Mushtaq Q. A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images. Skin Res. Technol 2013, 19:e490-e497.
    • (2013) Skin Res. Technol , vol.19 , pp. e490-e497
    • Abbas, Q.1    Garcia, I.F.2    Celebi, M.E.3    Ahmad, W.4    Mushtaq, Q.5
  • 31
    • 78650794460 scopus 로고    scopus 로고
    • Shading attenuation in human skin color images
    • Springer, G. Bebis, R. Boyle, B. Parvin, D. Koracin, I. Pavlidis, R. Feris (Eds.)
    • Cavalcanti P.G., Scharcanski J., Lopes C.B. Shading attenuation in human skin color images. Advances in Visual Computing 2010, 190-198. Springer. G. Bebis, R. Boyle, B. Parvin, D. Koracin, I. Pavlidis, R. Feris (Eds.).
    • (2010) Advances in Visual Computing , pp. 190-198
    • Cavalcanti, P.G.1    Scharcanski, J.2    Lopes, C.B.3
  • 32
    • 84879943225 scopus 로고    scopus 로고
    • MSIM: multistage illumination modeling of dermatological photographs for illumination-corrected skin lesion analysis
    • Glaister J., Amelard R., Wong A., Clausi D. MSIM: multistage illumination modeling of dermatological photographs for illumination-corrected skin lesion analysis. IEEE Trans. Biomed. Eng 2013, 60:1873-1883.
    • (2013) IEEE Trans. Biomed. Eng , vol.60 , pp. 1873-1883
    • Glaister, J.1    Amelard, R.2    Wong, A.3    Clausi, D.4
  • 35
    • 84880383709 scopus 로고    scopus 로고
    • Unified approach for lesion border detection based on mixture modeling and local entropy thresholding
    • Abbas Q., Garcia I.F., Celebi M.E., Ahmad W., Mushtaq Q. Unified approach for lesion border detection based on mixture modeling and local entropy thresholding. Skin Res. Technol 2013, 19:314-319.
    • (2013) Skin Res. Technol , vol.19 , pp. 314-319
    • Abbas, Q.1    Garcia, I.F.2    Celebi, M.E.3    Ahmad, W.4    Mushtaq, Q.5
  • 37
    • 36048965617 scopus 로고    scopus 로고
    • Nonlinear vector filtering for impulsive noise removal from color images
    • Celebi M.E., Kingravi H.A., Aslandogan Y.A. Nonlinear vector filtering for impulsive noise removal from color images. J. Electron. Imaging 2007, 16:33008-33021.
    • (2007) J. Electron. Imaging , vol.16 , pp. 33008-33021
    • Celebi, M.E.1    Kingravi, H.A.2    Aslandogan, Y.A.3
  • 38
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern 1979, 9:62-66.
    • (1979) IEEE Trans. Syst. Man Cybern , vol.9 , pp. 62-66
    • Otsu, N.1
  • 42
  • 43
    • 80052491838 scopus 로고    scopus 로고
    • Hair removal methods: a comparative study for dermoscopy images
    • Abbas Q., Celebi M., García I.F. Hair removal methods: a comparative study for dermoscopy images. Biomed. Signal Process. Control 2011, 6:395-404.
    • (2011) Biomed. Signal Process. Control , vol.6 , pp. 395-404
    • Abbas, Q.1    Celebi, M.2    García, I.F.3
  • 44
    • 62949199064 scopus 로고    scopus 로고
    • PDE-based unsupervised repair of hair-occluded information in dermoscopy images of melanoma
    • Xie F.-Y., Qin S.-Y., Jiang Z.-G., Meng R.-S. PDE-based unsupervised repair of hair-occluded information in dermoscopy images of melanoma. Comput. Med. Imaging Graph 2009, 33:275-282.
    • (2009) Comput. Med. Imaging Graph , vol.33 , pp. 275-282
    • Xie, F.-Y.1    Qin, S.-Y.2    Jiang, Z.-G.3    Meng, R.-S.4
  • 46
    • 84910604880 scopus 로고    scopus 로고
    • Hair enhancement in dermoscopic images using dual-channel quaternion tubularness filters and MRF-based multilabel optimization
    • Mirzaalian H., Lee T.K., Hamarneh G. Hair enhancement in dermoscopic images using dual-channel quaternion tubularness filters and MRF-based multilabel optimization. IEEE Trans. Image Process 2014, 23:5486-5496.
    • (2014) IEEE Trans. Image Process , vol.23 , pp. 5486-5496
    • Mirzaalian, H.1    Lee, T.K.2    Hamarneh, G.3
  • 49
    • 79951509121 scopus 로고    scopus 로고
    • Border detection in dermoscopy images using hybrid thresholding on optimized color channels
    • Garnavi R., Aldeen M., Celebi M.E., Varigos G., Finch S. Border detection in dermoscopy images using hybrid thresholding on optimized color channels. Comput. Med. Imaging Graph 2011, 35:105-115.
    • (2011) Comput. Med. Imaging Graph , vol.35 , pp. 105-115
    • Garnavi, R.1    Aldeen, M.2    Celebi, M.E.3    Varigos, G.4    Finch, S.5
  • 50
    • 0025465145 scopus 로고
    • Scale-space and edge detection using anisotropic diffusion
    • Perona P., Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell 1990, 12:629-639.
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell , vol.12 , pp. 629-639
    • Perona, P.1    Malik, J.2
  • 51
  • 52
    • 0026883886 scopus 로고
    • Image selective smoothing and edge detection by nonlinear diffusion
    • Alvarez L., Lions P.-L., Morel J.-M. Image selective smoothing and edge detection by nonlinear diffusion. SIAMJ Numer. Anal 1992, 29:845-866.
    • (1992) SIAMJ Numer. Anal , vol.29 , pp. 845-866
    • Alvarez, L.1    Lions, P.-L.2    Morel, J.-M.3
  • 53
    • 84989921626 scopus 로고
    • Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection
    • Springer, Berlin and Heidelberg, O. Faugeras (Ed.)
    • Nordström N. Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection. Computer Vision 1990, 18-27. Springer, Berlin and Heidelberg. O. Faugeras (Ed.).
    • (1990) Computer Vision , pp. 18-27
    • Nordström, N.1
  • 54
    • 0031871495 scopus 로고    scopus 로고
    • Butterworth equations for homomorphic filtering of images
    • Adelmann H.G. Butterworth equations for homomorphic filtering of images. Comput. Biol. Med 1998, 28:169-181.
    • (1998) Comput. Biol. Med , vol.28 , pp. 169-181
    • Adelmann, H.G.1
  • 56
    • 4344675264 scopus 로고    scopus 로고
    • Region filling and object removal by exemplar-based image inpainting
    • Criminisi A., Perez P., Toyama K. Region filling and object removal by exemplar-based image inpainting. IEEE Trans. Image Process 2004, 13:1200-1212.
    • (2004) IEEE Trans. Image Process , vol.13 , pp. 1200-1212
    • Criminisi, A.1    Perez, P.2    Toyama, K.3
  • 58
    • 78651451409 scopus 로고    scopus 로고
    • Lesion border detection in dermoscopy images using dynamic programming
    • Abbas Q., Celebi M.E., Fondón García I., Rashid M. Lesion border detection in dermoscopy images using dynamic programming. Skin Res. Technol 2011, 17:91-100.
    • (2011) Skin Res. Technol , vol.17 , pp. 91-100
    • Abbas, Q.1    Celebi, M.E.2    Fondón García, I.3    Rashid, M.4
  • 60
    • 84860262997 scopus 로고    scopus 로고
    • SKAN: skin scanner - system for skin cancer detection using adaptive techniques
    • Ganzeli H.S., Bottesini J.G., Paz L.O., Ribeiro M.F.S. SKAN: skin scanner - system for skin cancer detection using adaptive techniques. IEEE Lat. Am. Trans 2011, 9:206-212.
    • (2011) IEEE Lat. Am. Trans , vol.9 , pp. 206-212
    • Ganzeli, H.S.1    Bottesini, J.G.2    Paz, L.O.3    Ribeiro, M.F.S.4
  • 62
    • 79960055874 scopus 로고    scopus 로고
    • Automated prescreening of pigmented skin lesions using standard cameras
    • Cavalcanti P.G., Scharcanski J. Automated prescreening of pigmented skin lesions using standard cameras. Comput. Med. Imaging Graph 2011, 35:481-491.
    • (2011) Comput. Med. Imaging Graph , vol.35 , pp. 481-491
    • Cavalcanti, P.G.1    Scharcanski, J.2
  • 63
    • 14844303908 scopus 로고    scopus 로고
    • Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes
    • Erkol B., Moss R.H., Joe Stanley R., Stoecker W.V., Hvatum E. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes. Skin Res. Technol 2005, 11:17-26.
    • (2005) Skin Res. Technol , vol.11 , pp. 17-26
    • Erkol, B.1    Moss, R.H.2    Joe Stanley, R.3    Stoecker, W.V.4    Hvatum, E.5
  • 64
    • 84963739375 scopus 로고    scopus 로고
    • A novel approach to segment skin lesions in dermoscopic images based on a deformable model
    • Ma Z., Tavares J.M.R. A novel approach to segment skin lesions in dermoscopic images based on a deformable model. IEEE J. Biomed. Health Inform 2016, 20:615-623.
    • (2016) IEEE J. Biomed. Health Inform , vol.20 , pp. 615-623
    • Ma, Z.1    Tavares, J.M.R.2
  • 65
    • 84885419169 scopus 로고    scopus 로고
    • A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images
    • Cavalcanti P.G., Scharcanski J. A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images. Comput. Methods Programs Biomed 2013, 112:684-693.
    • (2013) Comput. Methods Programs Biomed , vol.112 , pp. 684-693
    • Cavalcanti, P.G.1    Scharcanski, J.2
  • 66
    • 84907599635 scopus 로고    scopus 로고
    • Two systems for the detection of melanomas in dermoscopy images using texture and color features
    • Barata C., Ruela M., Francisco M., Mendonça T., Marques J.S. Two systems for the detection of melanomas in dermoscopy images using texture and color features. IEEE Syst. J. 2013, 8:965-979.
    • (2013) IEEE Syst. J. , vol.8 , pp. 965-979
    • Barata, C.1    Ruela, M.2    Francisco, M.3    Mendonça, T.4    Marques, J.S.5
  • 68
    • 10744223883 scopus 로고    scopus 로고
    • Application of region-based segmentation and neural network edge detection to skin lesions
    • Rajab M.I., Woolfson M.S., Morgan S.P. 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
  • 75
    • 84859441037 scopus 로고    scopus 로고
    • Skin tumor area extraction using an improved dynamic programming approach
    • Abbas Q., Celebi M., García I.F. Skin tumor area extraction using an improved dynamic programming approach. Skin Res. Technol 2012, 18:133-142.
    • (2012) Skin Res. Technol , vol.18 , pp. 133-142
    • Abbas, Q.1    Celebi, M.2    García, I.F.3
  • 76
  • 78
    • 0030824981 scopus 로고    scopus 로고
    • Threshold selection using Renyi's entropy
    • Sahoo P., Wilkins C., Yeager J. Threshold selection using Renyi's entropy. Pattern Recognit 1997, 30:71-84.
    • (1997) Pattern Recognit , vol.30 , pp. 71-84
    • Sahoo, P.1    Wilkins, C.2    Yeager, J.3
  • 79
    • 0000173953 scopus 로고
    • Scene analysis using regions
    • Brice C.R., Fennema C.L. Scene analysis using regions. Artif. Intell 1970, 1:205-226.
    • (1970) Artif. Intell , vol.1 , pp. 205-226
    • Brice, C.R.1    Fennema, C.L.2
  • 80
    • 0003217481 scopus 로고
    • Experimental evaluation of techniques for automatic segmentation of objects in a complex scene
    • Muerle J.L., Allen D.C. Experimental evaluation of techniques for automatic segmentation of objects in a complex scene. Pictorial Pattern Recognit 1968, 1:3-13.
    • (1968) Pictorial Pattern Recognit , vol.1 , pp. 3-13
    • Muerle, J.L.1    Allen, D.C.2
  • 81
    • 84990602490 scopus 로고
    • Optimal approximations by piecewise smooth functions and associated variational problems
    • Mumford D., Shah J. Optimal approximations by piecewise smooth functions and associated variational problems. Commun. Pure Appl. Math 1989, 42:577-685.
    • (1989) Commun. Pure Appl. Math , vol.42 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 87
    • 38048999139 scopus 로고    scopus 로고
    • Unsupervised perceptual segmentation of natural color images using fuzzy-based hierarchical algorithm
    • Springer, B.K. Ersboll, K.S. Pedersen (Eds.)
    • Maeda J., Kawano A., Saga S., Suzuki Y. Unsupervised perceptual segmentation of natural color images using fuzzy-based hierarchical algorithm. Image Analysis 2007, 462-471. Springer. B.K. Ersboll, K.S. Pedersen (Eds.).
    • (2007) Image Analysis , pp. 462-471
    • Maeda, J.1    Kawano, A.2    Saga, S.3    Suzuki, Y.4
  • 90
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: a robust approach toward feature space analysis
    • Comaniciu D., Meer P. Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell 2002, 24:603-619.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell , vol.24 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 93
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • Xu C., Prince J.L. Snakes, shapes, and gradient vector flow. IEEE Trans. Image Process 1998, 7:359-369.
    • (1998) IEEE Trans. Image Process , vol.7 , pp. 359-369
    • Xu, C.1    Prince, J.L.2
  • 94
    • 44749084234 scopus 로고
    • Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
    • Osher S., Sethian J.A. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys 1988, 79:12-49.
    • (1988) J. Comput. Phys , vol.79 , pp. 12-49
    • Osher, S.1    Sethian, J.A.2
  • 95
    • 0036891794 scopus 로고    scopus 로고
    • A multiphase level set framework for image segmentation using the Mumford and Shah model
    • Vese L., Chan T.F. A multiphase level set framework for image segmentation using the Mumford and Shah model. Int. J. Comput. Vis 2002, 50:271-293.
    • (2002) Int. J. Comput. Vis , vol.50 , pp. 271-293
    • Vese, L.1    Chan, T.F.2
  • 96
    • 0030210970 scopus 로고    scopus 로고
    • A variational level set approach to multiphase motion
    • Zhao H.-K., Chan T., Merriman B., Osher S. A variational level set approach to multiphase motion. J. Comput. Phys 1996, 127:179-195.
    • (1996) J. Comput. Phys , vol.127 , pp. 179-195
    • Zhao, H.-K.1    Chan, T.2    Merriman, B.3    Osher, S.4
  • 100
    • 10744223883 scopus 로고    scopus 로고
    • Application of region-based segmentation and neural network edge detection to skin lesions
    • Rajab M., Woolfson M., Morgan S. 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.1    Woolfson, M.2    Morgan, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.