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Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Deep learning for image-based cancer detection and diagnosis − A survey
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Xception: Deep Learning with Depthwise Separable Convolutions
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Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network
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Automatic segmentation of colorectal cancer in 3D MRI by combining deep learning and 3D level-set algorithm-a preliminary study
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The Cancer Genome Atlas Stomach Adenocarcinoma Collection (TCGA-STAD)
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The Cancer Genome Atlas Colon Adenocarcinoma Collection (TCGA-COAD)
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