IEEE

Polyp Image Segmentation Algorithm Based on Improved Polyp-PVT

Abstract: Polyp detection is crucial for preventing colorectal cancer. Polyp segmentation based on deep learning enables pixellevel lesion analysis, with significant clinical value. This paper ...
IEEE

Image Semantic Segmentation Algorithm Based on U-Net

Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...
Frontiers

An adaptive fusion of composite attention convolutional neural network for polyp image segmentation

Background: Accurate localization and segmentation of polyp lesions in colonoscopic images are crucial for the early diagnosis of colorectal cancer and treatment planning. However, endoscopic imaging ...
GitHub

SAMA-UNet: Self-Adaptive Mamba-like Attention UNet

Official PyTorch implementation of SAMA-UNet: A novel U-shaped architecture for medical image segmentation that integrates Self-Adaptive Mamba-like Attention and Causal-Resonance Learning.