Implementation of Deep Learning for Early Detection of Skin Cancer: A Panoramic Review

Anderson Smith Florez-Fuentes, Everardo Vargas-Rodriguez, Rafael Guzman-Cabrera, Teodoro Cordova-Fraga, Johel Rodriguez Fernandez, Albenis Esther Florez Fuentes

Abstract


This article reviews a variety of open access documents related to pre-trained and proprietary architectures that contribute to the detection of skin cancer. This allows readers to freely access the referenced documents, and in some cases be able to replicate their implementations since most of the reviewed works consider open access databases, and therefore their metadata and their bibliographic references, which gave rise to their construction, are known. Moreover, in this review are described the efforts that have been made, and those currently being made for the early detection of any disease is a task that contributes to the improvement of human welfare.

Keywords


Deep learning, skin cancer, melanoma, machine learning, segmentation

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