Recent advances in deep learning applied to skin cancer detection

Autor:	Pacheco, Andre G. C., Krohling, Renato A.
Rok vydání:	2019
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Statistics - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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 are significant issues in this field. In this context, over the past few years, deep learning models applied to automated skin cancer detection have 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. Comment: Paper accepted in the Retrospectives Workshop @ NeurIPS 2019
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1912.03280 Zobrazit plný text záznamu View this record from Arxiv