Polyp Image

Polyp image analysis focuses on automatically detecting and characterizing polyps, primarily in the gastrointestinal tract, for early cancer detection. Current research emphasizes improving the accuracy and robustness of deep learning models for polyp segmentation and detection, employing architectures like transformers, and addressing challenges such as domain generalization across different imaging modalities and handling variations in polyp size and appearance. These advancements aim to improve the efficiency and accuracy of colonoscopy, ultimately reducing the risk of colorectal cancer through earlier diagnosis.