Results 51 to 60 of about 81,220 (217)

Splenic CT radiomics nomogram predicting the risk of upper gastrointestinal hemorrhage in cirrhosis

open access: yesJournal of Radiation Research and Applied Sciences, 2023
Objective: To explore the application value of splenic CT radiomics nomogram in predicting the risk of upper gastrointestinal hemorrhage. Methods: From October 2019 to September 2021, a total of 110 patients with cirrhotic portal hypertension were ...
Yingzhan Zhang, Qun Zhao, Jing Wen
doaj  

Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks [PDF]

open access: yesarXiv, 2017
Background: Deep learning techniques have achieved high accuracy in image classification tasks, and there is interest in applicability to neuroimaging critical findings. This study evaluates the efficacy of 2D deep convolutional neural networks (DCNNs) for detecting basal ganglia (BG) hemorrhage on noncontrast head CT.
arxiv  

Diagnosis of a Bleeding Dieulafoy Lesion on Computed Tomography and Its Subsequent Embolization

open access: yesCanadian Journal of Gastroenterology, 2004
Dieulafoy lesions are a potentially serious cause of gastrointestinal bleeding. Because they may bleed intermittently, and only be endoscopically evident during hemorrhage, their diagnosis can be challenging.
Robert M Penner   +2 more
doaj   +1 more source

Embolization of a Life-Threatening Hemorrhage from Meckel's Diverticulum in an Adult

open access: yes대한영상의학회지, 2017
Hemorrhage from Meckel’s diverticulum is very rare in adults. However, it should not be overlooked as a possible cause of gastrointestinal bleeding, since hemorrhage from Meckel’s diverticulum can be acute and massive.
Chang Rae Kim   +3 more
doaj   +1 more source

Gastrointestinal hemorrhage – some epidemiological characteristics of patients in the period 1994–2003

open access: yesZdravniški Vestnik, 2006
Background: Gastrointestinal hemorrhage is a frequent medical problem and a significant cause of morbidity and mortality. The aim of this prospective, cohort study, which was carried out at our institution, was to establish the causes of hemorrhage from ...
Pavel Skok   +3 more
doaj  

Efficacy and Safety of CART Cell Therapy in Aggressive B‐Cell Lymphomas Involving the Gastrointestinal Tract

open access: yesCancer Reports
Objective Currently, chimeric antigen receptor T‐cell (CART) therapy represents a highly effective approach for relapsed/refractory B‐cell lymphomas. However, it also carries treatment‐related risks.
Lixia Ma   +12 more
doaj   +1 more source

Non-Variceal Upper Gastrointestinal Bleeding [PDF]

open access: yesThe Korean Journal of Helicobacter and Upper Gastrointestinal Research
Non-variceal upper gastrointestinal bleeding (NVUGIB), which predominantly occurs secondary to peptic ulcers, presents a major challenge in emergency departments and is associated with high mortality rates.
Dong Jin Yoon, Joon Sung Kim
doaj   +1 more source

Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy [PDF]

open access: yesarXiv, 2019
This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy. They have been classified into 18 categories. It should be be noted by the reader that this is a review from pre-deep learning era.
arxiv  

Intracranial Hemorrhage Detection Using Neural Network Based Methods With Federated Learning [PDF]

open access: yesarXiv, 2020
Intracranial hemorrhage, bleeding that occurs inside the cranium, is a serious health problem requiring rapid and often intensive medical treatment. Such a condition is traditionally diagnosed by highly-trained specialists analyzing computed tomography (CT) scan of the patient and identifying the location and type of hemorrhage if one exists.
arxiv  

RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans [PDF]

open access: yesarXiv, 2017
We describe a deep learning approach for automated brain hemorrhage detection from computed tomography (CT) scans. Our model emulates the procedure followed by radiologists to analyse a 3D CT scan in real-world. Similar to radiologists, the model sifts through 2D cross-sectional slices while paying close attention to potential hemorrhagic regions ...
arxiv  

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