MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation

arXiv:2404.00726v1 Announce Type: cross
Abstract: Biomedical image segmentation is a very important part in disease diagnosis. The term "colonic polyps" refers to polypoid lesions that occur on the surface of the colonic mucosa within the intestinal lumen. In clinical practice, early detection of polyps is conducted through colonoscopy examinations and biomedical image processing. Therefore, the accurate polyp image segmentation is of great significance in colonoscopy examinations. Convolutional Neural Network (CNN) is a common automatic segmentation method, but its main disadvantage …

abstract application arxiv biomedical clinical convolution convolution neural network cs.cv cs.lg detection diagnosis disease disease diagnosis eess.iv image network neural network novel part practice segmentation surface transformer transformer network type