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[HTML][HTML] An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this
context, accurately distinguishing between adenomatous polyp subtypes, especially tubular …
context, accurately distinguishing between adenomatous polyp subtypes, especially tubular …
Classification of precancerous colorectal lesions via ConvNeXt on histopathological images
In this translational study, the classification of precancerous colorectal lesions is performed
by the ConvNeXt method on MHIST histopathological imaging dataset. The ConvNeXt …
by the ConvNeXt method on MHIST histopathological imaging dataset. The ConvNeXt …
Regularizing CNNs Using Confusion Penalty Based Label Smoothing for Histopathology Images
Abstract Deep Learning, particularly Convolutional Neural Networks (CNN), has been
successful in computer vision tasks and medical image analysis. However, modern CNNs …
successful in computer vision tasks and medical image analysis. However, modern CNNs …