[1]
|
(2006) Solar ultraviolet radiation: Global burden of disease from solar ultraviolet radiation. Environmental Burden of Disease Series, World Health Organization, 13.
|
[2]
|
(2009) Cancer Facts and Figures. American Cancer Society, Atlanta.
|
[3]
|
Friedman, R.J. (1985) Early detection of malignant melanoma: the role of the physician examination and self examination of the skin. Cancer Journal for Clinicians, 35, 130-151.
|
[4]
|
Schmid-Saugeon, P., Guillod, J. and Thiran, J.P. (2003) Towards a computer-aided diagnosis system for pigmented skin lesions. Computerized Medical Imaging and Graphics, 27, 65-78.
|
[5]
|
Blanzieri, E. (2000) Exploiting classifier combination for early melanoma diagnosis support. Proceedings of the 11th European Conference on Machine Learning, Barcelona, 31 May-2 June 2000, 55-62.
|
[6]
|
Cascinelli, N., Ferrario, M., Tonelli, T., et al. (1987) A possible new tool for clinical diagnosis of melanoma. Journal of the American Academy of Dermatology, 16, 361-367.
|
[7]
|
Ercal, F., Chawla, A., Stoecker, W.V., Lee, H.C. and Moss, R.H. (1994) Neural network diagnosis of malignant melanoma from color images. IEEE Transactions on Biomedical Engineering, 41(9), 837-845.
|
[8]
|
Ganster, H., Pinz, A., Röhrer, R., et al. (2001) Automated melanoma recognition. IEEE Transactions on Medical Imaging, 20(3), 233-238.
|
[9]
|
Burroni, M. (2004) Melanoma computer-aided diagnosis: Reliability and feasibility study. Clinical Cancer Research, 10, 1881-1886.
|
[10]
|
Guillod, J., Schmid-Saugeon, P., Déccaillet, F., et al. (2003) An open internet platform to distributed image processing applied to dermoscopy. Studies in Health Technology and Informatics, 95, 107-112.
|
[11]
|
Oka, H., Hashimoto, M., Iyatomi, H. and Tanaka, M. (2004) Internet-based program for automatic discrimination of dermoscopic images between melanoma and Clark nevi. British Journal of Dermatology, 150(5), 1041.
|
[12]
|
Maglogiannis, I. and Charalampos, N.D. (2003) Overview of advanced computer vision systems for skin lesions characterization. IEEE Transaction on Information Technology in Biomedicine, 13(5), 721-733.
|
[13]
|
Hall, P.N., Claridge, E. and Morris Smith, J.D. (1995) Computer screening for early detection of melanoma- Is there a future? British Journal of Dermatology, 132, 325-338.
|
[14]
|
White, R., Rigel, D.S. and Friedman, R.J. (1991) Computer applications in the diagnosis and prognosis of malignant melanoma. Dermatologic Clinics, 9, 695-702.
|
[15]
|
Taouil, K. and Romdhane, N.B. (2006) A new automatic approach for edge detection of skin lesion images. International Conference on Information & Communication Technologies: From Theory to Applications, Damascus.
|
[16]
|
Kass, M., Witkin, A. and Terzopoulos, D. (1987) Snakes: Active contour models. International Journal of Computer Vision, 1, 321-331.
|
[17]
|
Xu, C.Y. and Prince, J.L. (1998) Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing, 7(3), 359.
|
[18]
|
Taouil, K., Bouhlel, M.S., Elloumi, M. and Kamoun, L. (2002) Quantification des caractéristiques de mélanomes en vue d'une classification. JTEA'2002, Sousse, 179-185.
|
[19]
|
Zagrouba, E. and Barhoumi, W. (2004) A prelimary approach for the automated recognition of malignant melanoma. Image Analysis and Stereology Journal, 23(2), 121-135.
|
[20]
|
Taouil, K. and Romdhane, N.B. (2006) Automatic segmentation and classification of skin lesion images. The 2nd International Conferences on Distributed Frameworks for Multimedica Applications, Pulau Pinang.
|
[21]
|
Pudil, P., Novoviovca, J. and Kittler, J. (1994) Floating search methods in feature selection. Pattern Recognition Letters, 15, 1119-1125.
|
[22]
|
Specht, D.F. (1991) A general regression neural network. IEEE Transactions on Neural Networks, 2, 568-576.
|
[23]
|
Romdhane, N.B., Taouil, K., Boudaya, S. Turki, H. and Bouhlel, M.S. (2007) Sélection des Variables et Classification par Réseaux de Neurones des Lésions Dermatologiques. 4th International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, Tunisia.
|
[24]
|
Tokan, F., Türker, N. and Yıldırım, T. (2006) ROC analysis as a useful tool for performance evaluation of artificial neural networks. Artificial Neural Networks- ICANN 2006, 4132, 923-931.
|
[25]
|
Zagrouba, E. and Barhoumi, W. (2005) An accelerated system for melanoma diagnosis based on subset feature selection. Journal of Computing and Information Technology, 13(1), 69-82.
|
[26]
|
Vannoorenberghe, P., Colot, O. and de Brucq, D. (1999) Dempster-shafer’s theory as an aid to color information processing application to melanoma detection in dermatology. Proceedings of the 10th International Conference on Image Analysis and Processing, Venice, 774-779.
|
[27]
|
Lefevre, E., Colot, O., Vannoorenberghe, P. and de Brucq, D. (2000) Knowledge modeling methods in the framework of evidence theory: An experimental comparison for melanoma detection Systems. 2000 IEEE International Conference on Man and Cybernetics, Nashville, 4, 2806- 2811.
|
[28]
|
Sezgin, M. and Sankur, B. (2004) Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging, 13(1), 146- 165.
|