Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. (arXiv:2206.06264v2 [eess.IV] UPDATED)

The detection and removal of precancerous polyps through colonoscopy is the
primary technique for the prevention of colorectal cancer worldwide. However,
the miss rate of colorectal polyp varies significantly among the endoscopists.
It is well known that a computer-aided diagnosis (CAD) system can assist
endoscopists in detecting colon polyps and minimize the variation among
endoscopists. In this study, we introduce a novel deep learning architecture,
named MKDCNet, for automatic polyp segmentation robust to significant changes
in polyp data distribution. MKDCNet …

arxiv convolution kernel network segmentation