Latest AI and machine learning research in colon cancer for healthcare professionals.
Mutation-induced drug resistance is a major contributor to the failure of targeted cancer therapies,...
Background: Current deep learning models in computational pathology, radiology, and digital patholog...
The tumor microenvironment (TME) plays a central role in cancer progression, treatment response, and...
Occlusion, where target structures are partially hidden by surgical instruments or overlapping tissu...
Accurate segmentation of the future liver remnant (FLR) is critical for surgical planning in colorec...
Text-to-Image (T2I) diffusion/flow models have recently achieved remarkable progress in visual fidel...
Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. A...
Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...
Purpose: To evaluate whether chest radiograph-derived age acceleration is associated with incident l...
Based on single-cell RNA sequencing data, differentially expressed genes (LMR DEGs) between colorect...
Early screening via colonoscopy is critical for colon cancer prevention, yet developing robust AI sy...
Cancer data standardization requires converting unstructured pathology reports into structured regis...
Colorectal cancer, inflammatory bowel disease, and diverticular disease are progressive conditions t...
Artificial intelligence (AI) is increasingly used in clinical settings, yet limited oversight and do...
Accurate monocular depth estimation is critical in colonoscopy for lesion localization and navigatio...
Sensitivity to staining variation remains a major barrier to deploying computational pathology (CPat...
Convolutional Neural Networks have shown promising effectiveness in identifying different types of c...
Consensus molecular subtyping (CMS) defines the transcriptomic taxonomy of colorectal cancer (CRC) a...
Accurate localization of tumor regions from hematoxylin and eosin-stained whole-slide images is fund...
Background and objectives: Colorectal cancer histopathological grading depends on accurate segmentat...
Training-free one-shot segmentation offers a scalable alternative to expert annotations where knowle...