Introduction ColonSegNet is a popular lightweight polyp segmentation architecture that has been utilized at an industrial application by NVIDIA for the Clara Holoscan Sample App for colonoscopy polyps’ segmentation. With an image size of 512*512, ColonSegNet achieves a dice coefficient of 82.06% for the polyp segmentation tasks and achieves average precision of 80.00% for the polyp detection tasks. […]
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