Skin Lesion Classification Using Deep Neural Network
This work addresses the problem of imbalanced data in medical image classification for dermatology, but it is incremental as it builds on existing deep learning methods.
The paper tackled skin lesion classification on the ISIC 2019 dataset by using an ensemble deep neural network with techniques to handle imbalanced data, resulting in improved performance for CNN models.
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.