메뉴 건너뛰기




Volumn 112, Issue 3, 2013, Pages 684-693

A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images

Author keywords

Computer aided diagnosis; Melanocytic skin lesion; Melanoma; Segmentation; Standard cameras

Indexed keywords

IMAGE REPRESENTATIONS; LESION SEGMENTATIONS; MELANOCYTIC SKIN LESIONS; MELANOMA; MORPHOLOGICAL OPERATIONS; PROCESSING STEPS; STANDARD CAMERAS; STATE-OF-THE-ART METHODS;

EID: 84885419169     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.08.010     Document Type: Article
Times cited : (23)

References (28)
  • 1
    • 33644755568 scopus 로고    scopus 로고
    • Teledermatology research review.
    • Whited J.D. Teledermatology research review. Int. J. Dermatol. 2006, 45:220-229.
    • (2006) Int. J. Dermatol. , vol.45 , pp. 220-229
    • Whited, J.D.1
  • 2
  • 5
    • 33845670021 scopus 로고    scopus 로고
    • Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi.
    • Fikrle T., Pizinger K. Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi. J. Eur. Acad. Dermatol. Venereol. 2007, 21:48-55.
    • (2007) J. Eur. Acad. Dermatol. Venereol. , vol.21 , pp. 48-55
    • Fikrle, T.1    Pizinger, K.2
  • 7
    • 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
  • 8
    • 33645553589 scopus 로고    scopus 로고
    • A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit: a preliminary report.
    • Manousaki A.G., Manios A.G., Tsompanaki E.I., Panayiotides J.G., Tsiftsis D.D., Kostaki A.K., Tosca A.D. A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit: a preliminary report. Int. J. Dermatol. 2006, 45:402-410.
    • (2006) Int. J. Dermatol. , vol.45 , pp. 402-410
    • Manousaki, A.G.1    Manios, A.G.2    Tsompanaki, E.I.3    Panayiotides, J.G.4    Tsiftsis, D.D.5    Kostaki, A.K.6    Tosca, A.D.7
  • 10
    • 78650794460 scopus 로고    scopus 로고
    • Shading attenuation in human skin color images
    • Springer, Berlin/Heidelberg, G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. Chung, R. Hammoud, M. Hussain, T. Kar-Han, R. Crawfis, D. Thalmann, D. Kao, L. Avila (Eds.)
    • Cavalcanti P., Scharcanski J., Lopes C.B.O. Shading attenuation in human skin color images. Advances in Visual Computing, volume 6453 of Lecture Notes in Computer Science 2010, 190-198. Springer, Berlin/Heidelberg. G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. Chung, R. Hammoud, M. Hussain, T. Kar-Han, R. Crawfis, D. Thalmann, D. Kao, L. Avila (Eds.).
    • (2010) Advances in Visual Computing, volume 6453 of Lecture Notes in Computer Science , pp. 190-198
    • Cavalcanti, P.1    Scharcanski, J.2    Lopes, C.B.O.3
  • 14
    • 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
  • 16
    • 70350770862 scopus 로고    scopus 로고
    • Extraction of skin lesion texture features based on independent component analysis.
    • Tabatabaie K., Esteki A., Toossi P. Extraction of skin lesion texture features based on independent component analysis. Skin Res. Technol. 2009, 15:433-439.
    • (2009) Skin Res. Technol. , vol.15 , pp. 433-439
    • Tabatabaie, K.1    Esteki, A.2    Toossi, P.3
  • 18
    • 59149102935 scopus 로고    scopus 로고
    • A multi-direction GVF snake for the segmentation of skin cancer images
    • Tang J. A multi-direction GVF snake for the segmentation of skin cancer images. Pattern Recogn. 2009, 42:1172-1179.
    • (2009) Pattern Recogn. , vol.42 , pp. 1172-1179
    • Tang, J.1
  • 19
    • 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
  • 21
    • 84885434474 scopus 로고    scopus 로고
    • Dermnet skin disease image atlas
    • Dermnet skin disease image atlas, 2009.
    • (2009)
  • 23
    • 0033190620 scopus 로고    scopus 로고
    • Independent-component analysis of skin color image
    • Tsumura N., Haneishi H., Miyake Y. Independent-component analysis of skin color image. J. Opt. Soc. Am. A 1999, 16:2169-2176.
    • (1999) J. Opt. Soc. Am. A , vol.16 , pp. 2169-2176
    • Tsumura, N.1    Haneishi, H.2    Miyake, Y.3
  • 26
    • 79951509121 scopus 로고    scopus 로고
    • Border detection in dermoscopy images using hybrid thresholding on optimized color channels
    • Advances in Skin Cancer Image Analysis
    • 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. Advances in Skin Cancer Image Analysis.
    • (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
  • 27
    • 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
  • 28
    • 79951512626 scopus 로고    scopus 로고
    • Gradient vector flow with mean shift for skin lesion segmentation
    • Advances in Skin Cancer Image Analysis
    • Zhou H., Schaefer G., Celebi M.E., Lin F., Liu T. Gradient vector flow with mean shift for skin lesion segmentation. Comput. Med. Imaging Graph. 2011, 35:121-127. Advances in Skin Cancer Image Analysis.
    • (2011) Comput. Med. Imaging Graph. , vol.35 , pp. 121-127
    • Zhou, H.1    Schaefer, G.2    Celebi, M.E.3    Lin, F.4    Liu, T.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.