Recent advances in deep learning applied for skin cancer detection

Andre G. C. Pacheco, Renato A. Krohling

TL;DR: We present an overview of the recent advances reported for skin cancer detection as well as a discussion about the challenges and opportunities for improvement in the current models

Abstract: Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the lack of qualified professionals and medical instruments is a significant issue in this field. For this reason, over the past few years, deep learning models applied to automated skin cancer detection has become a trend. In this paper, we present an overview of the recent advances reported in this field as well as a discussion about the challenges and opportunities for improvement in the current models. In addition, we also present some important aspects regarding the use of these models in smartphones and indicate future directions we believe the field will take.

Keywords: Skin cancer detection, deep learning, health informatics