A Combination of Soft Attention-aided CNN Models using Dempster-Shafer Theory for Skin Cancer Classification

Author:

Sarkar Sujan,Ray Amartya,Kaplun Dmitrii,Sarkar Ram

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Haenssle, H.A., et al.: Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Ann. Oncol. 29(8), 1836–1842 (2018)

2. Elgamal, M.: Automatic skin cancer images classification. Int. J. Adv. Comput. Sci. Appl. 4(3) (2013)

3. Khan, M.Q., et al.: Classification of melanoma and nevus in digital images for diagnosis of skin cancer. IEEE Access 7, 90132–90144 (2019)

4. Kalouche, S., Ng, A., Duchi, J.: Vision-based classification of skin cancer using deep learning. In: 2015, Conducted on Stanfords Machine Learning Course (CS 229) Taught (2016)

5. Mendes, D.B., da Silva, N.C.: Skin lesions classification using convolutional neural networks in clinical images. arXiv preprint arXiv:1812.02316 (2018)

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