Automated Polyp Segmentation in Colonoscopy Images

arXiv:2404.04461v1 Announce Type: new
Abstract: It is important to find the polyps in a human system that helps to prevent cancer during medical diagnosis. This research discusses using a dilated convolution module along with a criss cross attention-based network to segment polyps from the endoscopic images of the colon. To gather the context information of all pixels in an image more efficiently, criss-cross attention module has played a vital role. In order to extract maximum information from dataset, data augmentation …

abstract arxiv attention automated cancer context convolution cs.cv diagnosis gather human images information medical network research segment segmentation type