Research Techniques Made Simple: Deep Learning for the Classification of Dermatological Images

Author:

Cullell-Dalmau MartaORCID,Otero-Viñas MartaORCID,Manzo CarloORCID

Funder

European Regional Development Fund

Government of Spain Ministry of Science Innovation and Universities

Government of Catalonia Agency for Administration of University and Research Grants

Publisher

Elsevier BV

Subject

Cell Biology,Dermatology,Molecular Biology,Biochemistry

Reference28 articles.

1. A superpixel-driven deep learning approach for the analysis of dermatological wounds;Blanco;Comput Methods Programs Biomed,2020

2. Skin cancer classification using convolutional neural networks: systematic review;Brinker;J Med Internet Res,2018

3. Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images;Codella,2015

4. 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);Codella,2018

5. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

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