The detection and resection of small polyp objects in colonoscopy images are of great
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …

Coronary artery segmentation is a crucial prerequisite for computer-aided diagnosis of
coronary artery disease (CAD). However, this task remains challenging due to the intricate …

Fully-supervised polyp segmentation has accomplished significant triumphs over the years
in advancing the early diagnosis of colorectal cancer. However, label-efficient solutions from …

Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer.
This study investigates the frontiers of intelligent colonoscopy techniques and their …

The automatic and dependable identification of colonic disease subtypes by colonoscopy is
crucial. Once successful, it will facilitate clinically more in-depth disease staging analysis …

Abstract Background and Objective Ulcerative colitis (UC) is a chronic disease characterized
by recurrent symptoms and significant morbidity. The exact cause of the disease remains …

Accurate automatic polyp segmentation in colonoscopy is crucial for the prompt prevention
of colorectal cancer. However, the heterogeneous nature of polyps and differences in …

CNN-based object detection models that strike a balance between performance and speed
have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps …

Recently, large models (Segment Anything model) came on the scene to provide a new
baseline for polyp segmentation tasks. This demonstrates that large models with a sufficient …

Visual-language models have advanced the development of universal models, yet their
application in medical imaging remains constrained by specific functional requirements and …