News
Abstract: Deep learning has delivered promising results for automatic polyp detection and segmentation. However, deep learning is known for being data-hungry, and its performance is correlated with ...
11d
Sportschosun on MSNDetermination of Platelet Levels to Prevent Bleeding in Colorectal PolypectomyIn a recent study, a research team led by Professor Hyun Hye-kyung and Professor Heo Cheol-woong of Yonsei University's ...
Endoscopic management of large colorectal polyps. Int J Colorectal Dis ... Kudo S, Tamegai Y, Yamano H, Imai Y, Kogure E, Kashida H. Endoscopic mucosal resection of the colon: the Japanese technique.
Giant and solitary polyps evolve with anemia. •EUS is an important tool for stage and manage this disease. •Endoscopic treatment is the best treatment choice. •Supplementary video available on this ...
Background Complications of endoscopic mucosal resection (EMR) of large colorectal polyps remain ... patients with any large (≥20 mm) non-pedunculated colon polyp were assigned to cold or hot EMR ...
Case presentation: Between April 2022 and August 2023, the Department of Neurosurgery at Xingtai People’s Hospital Affiliated to Hebei Medical University treated two cases of giant skull base ...
Alternatively, suspect polyps that are confidently determined to be benign may simply be left in place potentially, without resection ... How is AI improving endoscopic evaluation in ulcerative ...
Colonoscopy revealed large pedunculated polyps in the sigmoid colon, with the largest measuring 5 cm ... titanium-clip-assisted nylon rope pre-treatment of the polyp root in the endoscopic resection ...
The clinicopathological features and safety of endoscopic mucosal resection for lateral spreading tumours (G-type “aggregate” and F-type “flat”) has yet to be clarified in Western cohorts. Methods: ...
ABSTRACT: The incidence of gastrointestinal tumors is high, the malignancy degree is high, the prognosis is poor, the survival rate is very low, digestive tract early cancer is the depth of ...
A user interface has been built to assist users in selecting and identifying images as part of a decision support system for categorizing GI polyps from endoscopic images.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results