Automated Polyp Segmentation in Colonoscopy Images: A Novel Approach Using Dilated Convolution and Recurrent Criss-Cross Attention

A deep learning model combining dilated convolution, recurrent criss-cross attention, and global average pooling achieves enhanced performance in segmenting irregular polyp shapes compared to existing methods.