Main Recommendations ESGE recommends against routine preoperative biliary drainage in patients with malignant extrahepatic biliary obstruction; preoperative biliary drainage should be reserved for patients with cholangitis, severe symptomatic jaundice (e.
J. Dumonceau+14 more
semanticscholar +1 more source
Capsule Endoscopy Multi-classification via Gated Attention and Wavelet Transformations [PDF]
Abnormalities in the gastrointestinal tract significantly influence the patient's health and require a timely diagnosis for effective treatment. With such consideration, an effective automatic classification of these abnormalities from a video capsule endoscopy (VCE) frame is crucial for improvement in diagnostic workflows.
arxiv
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal Endoscopy [PDF]
Video capsule endoscopy has transformed gastrointestinal endoscopy (GIE) diagnostics by offering a non-invasive method for capturing detailed images of the gastrointestinal tract, enabling early disease detection. However, its potential is limited by the sheer volume of images generated during the imaging procedure, which can take anywhere from 6-8 ...
arxiv
Inappropriate electrolyte repletion for patients undergoing endoscopic procedures [PDF]
At Thomas Jefferson University Hospital (TJUH), there has been a perceived necessity among housestaff and fellows to routinely check and replete serum potassium and magnesium for inpatients prior to endoscopic procedures In addition, there was an ...
Altman, MD, Daniel+5 more
core +1 more source
Duodenal carcinoid tumour – a case report [PDF]
Duodenal carcinoids are rare tumours of the small intestine with heterogenous clinical and pathological characteristics. The long-term prognosis is very good if discovered in the early stages.
Alexescu, Teodora Gabriela+7 more
core +1 more source
Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification [PDF]
In recent years, the diagnosis of gastrointestinal (GI) diseases has advanced greatly with the advent of high-tech video capsule endoscopy (VCE) technology, which allows for non-invasive observation of the digestive system. The MisaHub Capsule Vision Challenge encourages the development of vendor-independent artificial intelligence models that can ...
arxiv
SLAM Endoscopy enhanced by adversarial depth prediction [PDF]
Medical endoscopy remains a challenging application for simultaneous localization and mapping (SLAM) due to the sparsity of image features and size constraints that prevent direct depth-sensing. We present a SLAM approach that incorporates depth predictions made by an adversarially-trained convolutional neural network (CNN) applied to monocular ...
arxiv
Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model [PDF]
Gastrointestinal cancer is a leading cause of cancer-related incidence and death, making it crucial to develop novel computer-aided diagnosis systems for early detection and enhanced treatment. Traditional approaches rely on the expertise of gastroenterologists to identify diseases; however, this process is subjective, and interpretation can vary even ...
arxiv
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames [PDF]
Wireless capsule endoscopy (WCE) is an effective mean for diagnosis of gastrointestinal disorders. Detection of informative scenes in WCE video could reduce the length of transmitted videos and help the diagnosis procedure. In this paper, we investigate the problem of simplification of neural networks for automatic bleeding region detection inside ...
arxiv
Artificial Intelligence in Gastrointestinal Bleeding Analysis for Video Capsule Endoscopy: Insights, Innovations, and Prospects (2008-2023) [PDF]
The escalating global mortality and morbidity rates associated with gastrointestinal (GI) bleeding, compounded by the complexities and limitations of traditional endoscopic methods, underscore the urgent need for a critical review of current methodologies used for addressing this condition.
arxiv