Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images [PDF]
arXiv, 2021 Purpose: Manual annotation of gastric X-ray images by doctors for gastritis detection is time-consuming and expensive. To solve this, a self-supervised learning method is developed in this study. The effectiveness of the proposed self-supervised learning method in gastritis detection is verified using a few annotated gastric X-ray images.
arxiv
Journal of Digestive Endoscopy, 2014 Gastric varices are the probable source of bleeding in 10-36% of patients, with acute variceal bleeding and carry high mortality and rebleeding rates. Till date, cyanoacrylate glue injection is considered as the standard of care but has high complication
Yogesh Harwani +3 more
doaj +1 more source
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images [PDF]
arXiv, 2021 Gastric diffuse-type adenocarcinoma represents a disproportionately high percentage of cases of gastric cancers occurring in the young, and its relative incidence seems to be on the rise. Usually it affects the body of the stomach, and presents shorter duration and worse prognosis compared with the differentiated (intestinal) type adenocarcinoma.
arxiv
Laparoscopic splenectomy for a wandering spleen complicating gastric varices: report of a case [PDF]
, 2015 Wandering spleen is a rare clinical entity, and its chronic torsion of the vascular pedicle result in splenic vein occlusion leading to gastric varices.
Hidetoshi Wada +5 more
core +1 more source
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification [PDF]
, 2020 The whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. However, due to the large scale of WSIs and various sizes of the abnormal area, how to select informative regions and analyze them are quite challenging during the automatic diagnosis process.
arxiv +1 more source
Endoscopy is of low yield in the identification of gastrointestinal neoplasia in patients with dermatomyositis: A cross-sectional study. [PDF]
, 2017 AimTo determine the prevalence of gastrointestinal neoplasia among dermatomyositis patients who underwent an esophagogastroduodenoscopy and/or colonoscopy.MethodsA cross-sectional study examining the results of upper endoscopy and colonoscopy in adults ...
Gross, Andrew J +5 more
core +1 more source
Minimal Hepatic Encephalopathy in Cirrhotic Patients: A New Simple and Fast Digital Screening Method
United European Gastroenterology Journal, EarlyView.ABSTRACT Backround Minimal hepatic encephalopathy is a common and prognostically severe complication of cirrhosis with a significant impact on the quality of life. Detailed diagnostic work‐up of minimal hepatic encephalopathy is time‐consuming and difficult to integrate into daily clinical routine.
Henrike Dobbermann +14 more
wiley +1 more source
Endoscopic management of primary sclerosing cholangitis
Digestive Endoscopy, EarlyView.Primary sclerosing cholangitis (PSC) is a progressive autoimmune hepatobiliary disease characterized by fibrotic strictures in the bile ducts, leading to chronic cholestasis and cirrhosis. Magnetic resonance cholangiopancreatography (MRCP) is a noninvasive method for evaluating the condition of the bile ducts, and has high sensitivity and specificity ...
Suguru Mizuno +8 more
wiley +1 more source
Role of High total protein in gallbladder bile in the formation of cholesterol gallstones. [PDF]
, 1991 While it is generally accepted that cholesterol supersaturation of bile is of key importance in the rapid formation of cholesterol crystals, the role of total biliary protein and pH in the pathogenesis of cholesterol gallstones is less well understood ...
Abell +37 more
core +1 more source
Scheduling Dosage of Proton Pump Inhibitors Using Constrained Optimization With Gastric Acid Secretion Model [PDF]
arXiv, 2023 Dosage schedule of the Proton Pump Inhibitors (PPIs) is critical for gastric acid disorder treatment. In this paper, we develop a constrained optimization based approach for scheduling the PPIs dosage. In particular, we exploit a mathematical prediction model describing the gastric acid secretion, and use it within the optimization algorithm to predict
arxiv