Latest AI and machine learning research in colon cancer for healthcare professionals.
The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an esse...
Colorectal cancer (CRC) is a major global cause of cancer-related deaths, with early polyp detecti...
BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and re...
In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...
Object discovery, which refers to the task of localizing objects without human annotations, has ga...
Multi-map Sparse Monocular visual Simultaneous Localization and Mapping applied to monocular endos...
While AI-assisted colonoscopy promises improved colorectal cancer screening, its success relies on...
The rapid growth of the global population and the continuous decline in cultivable land pose signi...
Pancreatic ductal adenocarcinoma (PDAC) is one of the most common and aggressive types of pancreat...
Large-scale vision models like SAM have extensive visual knowledge, yet their general nature and c...
BACKGROUND: The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activ...
OBJECTIVE: Gallbladder polyps (GBPs) are increasingly prevalent, with the majority being benign; how...
BACKGROUND: Lipid metabolic disorders are emerging as a recognized influencing factors of lung adeno...
The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3...
Generalizable medical image segmentation is essential for ensuring consistent performance across d...
Accurate polyp segmentation remains challenging due to irregular lesion morphologies, ambiguous bo...
Colorectal cancer (CRC) is a significant global health concern, and early detection through screen...
Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recogni...
Automated colonoscopy reporting holds great potential for enhancing quality control and improving ...
Employing self-supervised learning (SSL) methodologies assumes par-amount significance in handling...
Segmentation of colorectal cancer (CRC) tumors in 3D medical imaging is both complex and clinicall...