Latest AI and machine learning research in colon cancer for healthcare professionals.
With an astounding five million fatal cases every year, lung cancer is among the leading causes of m...
BACKGROUND AND OBJECTIVE: Recent studies have shown that colorectal cancer (CRC) patients with micro...
Ulcerative colitis (UC) belongs to the inflammatory bowel disease (IBD) family, which is mainly caus...
Polyp segmentation has accomplished massive triumph over the years in the field of supervised learni...
CT examinations contain opportunistic body composition data with potential prognostic utility. Prev...
Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer st...
BACKGROUND: Cuproptosis is a recently found non-apoptotic cell death type that holds promise as an e...
BACKGROUND: Improved optical diagnostic technology is needed that can be used by also outside expert...
PURPOSE: To develop a novel multimodal data fusion model by incorporating computed tomography (CT) i...
(Bull.: Fr.) P. Karst. spore powder (IHS) contains polyphenols and triterpenoids with pharmacologic...
BACKGROUND: The DoMore-v1-CRC marker was recently developed using deep learning and conventional hae...
During the past decades, many automated image analysis methods have been developed for colonoscopy. ...
Clinically, proper polyp localization in endoscopy images plays a vital role in the follow-up treatm...
Numerous studies have been conducted to elucidate the relation of tumor proximity to cancer prognosi...
The early and accurate detection of colorectal cancer (CRC) significantly affects its prognosis and ...
Histopathological identification of tumor tissue is one of the routine pathological diagnoses for pa...
Colorectal cancer has a high incidence rate in all countries around the world, and the survival rate...
Colorectal cancer (CRC) is a malignant tumor that threatens human health worldwide. Disturbance of t...
BACKGROUND: The treatment strategies for colorectal cancer (CRC) must ensure a radical cure of cance...
A large-scale and well-annotated dataset is a key factor for the success of deep learning in medical...
The diversifying modalities of treatment for gastric cancer raise urgent demands for the rapid and ...