Results 41 to 50 of about 559,914 (224)
Automated segmentation of intracranial hemorrhages from 3D CT [PDF]
Intracranial hemorrhage segmentation challenge (INSTANCE 2022) offers a platform for researchers to compare their solutions to segmentation of hemorrhage stroke regions from 3D CTs. In this work, we describe our solution to INSTANCE 2022. We use a 2D segmentation network, SegResNet from MONAI, operating slice-wise without resampling.
arxiv
The purpose of this study was to determine which patient- or surgery-related factors are predictive of need for perioperative transfusion to avoid obtaining unnecessary pre-operative type and screens (T&S).
Gregory W. Kirschen+3 more
doaj +1 more source
ObjectiveTo describe the management of post-operative abdominal hemorrhage with a xenotransfusion of canine lyophilized platelets in a feline patient.Case summaryA 9-year-old male castrated domestic shorthair presented for a spontaneous hemoabdomen ...
Elizabeth Mannucci+4 more
doaj +1 more source
Deep Learning Approach to Predict Hemorrhage in Moyamoya Disease [PDF]
Objective: Reliable tools to predict moyamoya disease (MMD) patients at risk for hemorrhage could have significant value. The aim of this paper is to develop three machine learning classification algorithms to predict hemorrhage in moyamoya disease. Methods: Clinical data of consecutive MMD patients who were admitted to our hospital between 2009 and ...
arxiv
Primary intracerebral hemorrhage and subarachnoid hemorrhage
Intracerebral hemorrhage (ICH) constitutes about 13% of stroke cases in the United States. I In Asian populations, the frequency may be as high as 30% of all strokes. 2 The United States age-adjusted incidence of ICH is 10 to 15 per 100,000 per year and doubles with each decade after age 45.
Issam A. Awad+2 more
openaire +3 more sources
Genetic polymorphisms associated with upper gastrointestinal bleeding: A systematic review protocol
Gastrointestinal bleedings (GIB) are one of the most frequent adverse drug reactions. Among the GIB upper gastrointestinal bleeding (UGIB) stands out due to their high mortality.
Marcela Forgerini+2 more
doaj
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT [PDF]
Modern machine learning pipelines, in particular those based on deep learning (DL) models, require large amounts of labeled data. For classification problems, the most common learning paradigm consists of presenting labeled examples during training, thus providing strong supervision on what constitutes positive and negative samples.
arxiv
Background Diltiazem, a moderate cytochrome P450 3A4 isozyme/P‐glycoprotein inhibitor, may potentiate the bleeding risk of direct oral anticoagulants (DOACs) through pharmacokinetic interactions.
Yunwen Xu+5 more
doaj +1 more source
PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage [PDF]
Intracerebral hemorrhage is one of the diseases with the highest mortality and poorest prognosis worldwide. Spontaneous intracerebral hemorrhage (SICH) typically presents acutely, prompt and expedited radiological examination is crucial for diagnosis, localization, and quantification of the hemorrhage.
arxiv
Adrenal myelolipoma is a rare, benign, and nonfunctioning tumor, which is generally small and asymptomatic and incidentally discovered at autopsy or on radiological examination. In rare cases, large tumors can produce symptoms due to their mass effect or
Da-Rae Kim+7 more
doaj +1 more source