Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3065701
Abstract: Eliminating the undesirable features is crucial to computer vision applications since undesirable features degrade the visibility of images. For that purpose, denoising, dehazing and deraining have been actively studied in both traditional model-based approaches and… read more here.
Keywords: hair removal; hair; melanoma classification; generative adversarial ... See more keywords
Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2021.758495
Abstract: Melanoma is a skin disease with a high fatality rate. Early diagnosis of melanoma can effectively increase the survival rate of patients. There are three types of dermoscopy images, malignant melanoma, benign nevis, and seborrheic… read more here.
Keywords: melanoma classification; two stage; classification; dermoscopy images ... See more keywords