Deep Neural Networks for Melanoma Detection from Optical Standard Images using Transfer Learning

Author:

Abbes Wiem,Sellami Dorra

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

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2. L. A. Ries, D. Harkins, M. Krapcho, A. Mariotto, B. Miller, E. J. Feuer, L. X. Clegg, M. Eisner, M.-J. Horner, N. Howlader, et al., “Seer cancer statistics review, 1975-2003,” 2006.

3. “Cancer facts and figures 2021, american cancer society,” https://www.cancer.org/cancer/melanoma-skin-cancer/about/key-statistics.html, 2021.

4. “Skin cancer facts and statistics,” Accessed at https://web.archive.org/web/20190703125920/https://www.skincancer.org/skin-cancer-information/skin-cancer-facts, 2019.

5. "Dermatoscopy use by us dermatologists: a cross-sectional survey,";Engasser;Journal of the American Academy of Dermatology,2010

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3. The power of deep learning for intelligent tumor classification systems: A review;Computers and Electrical Engineering;2023-03

4. A Systematic Review on Melanoma Skin Cancer Cell Detection;2022 International Conference on Edge Computing and Applications (ICECAA);2022-10-13

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