Synthetic Images Generation Using Conditional Generative Adversarial Network for Skin Cancer Classification
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)(2021)
摘要
Deep learning and computer vision have achieved remarkable success in many areas of machine learning and medical diagnostics. However, there is still a remarkable gap between dermatologists' skin cancer diagnosis and reliable computer-aided melanoma detection. There are several reasons behind this gap, and the availability of insufficient data for training deep learning networks is one of them. Da...
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关键词
Training,Deep learning,Image synthesis,Computational modeling,Training data,Generative adversarial networks,Generators
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