Skin cancer recognition using CNN

Author:

Jyothiswar Challa,Kumar Ravula Ganesh,Kalaivani J.

Publisher

AIP Publishing

Reference15 articles.

1. Dermatologist-level classification of skin cancer with deep neural networks

2. Codella, N., et al. “Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)." arXiv preprint arXiv:1710.05006 (2017).

3. Han, S.S., et al. “Deep neural networks show an equivalent and often superior performance to dermatologistsin onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.” PLoS One 12.6 (2017): e0178446.

4. Brinker, T.J., et al. “Skin cancer classification using convolutional neural networks: systematic review.” JMIRDermatology 3.1 (2020): e19258.

5. Akay, B.N., et al. “Automated detection of malignant melanoma with dermato fluoroscopy and artificial intelligence.” Skin research and technology 25.1 (2019): 71–79.

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