Skin Lesion Classification Using Deep Neural Network (1911.07817v1)

Published 18 Nov 2019 in eess.IV and cs.CV

Abstract: This paper reports the methods and techniques we have developed for classify dermoscopic images (task 1) of the ISIC 2019 challenge dataset for skin lesion classification, our approach aims to use ensemble deep neural network with some powerful techniques to deal with unbalance data sets as its the main problem for this challenge in a move to increase the performance of CNNs model.

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Authors (1)

Alla Eddine Guissous

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