Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2022)

引用 13|浏览17
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摘要
Many modern neural network architectures with over parameterized regime have been used for identification of skin cancer. Recent work showed that network, where the hidden units are polynomially smaller in size, showed better performance than overparameterized models. Hence, in this paper, we present multistage unit-vise deep dense residual network with transition and additional supervision blocks...
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关键词
Skin,Melanoma,Training,Lesions,Deep learning,Sensitivity,Residual neural networks
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