Study Findings on Edema Published by Researchers at Second Hospital of Hebei Medical University (Automatic segmentation of hemispheric CSF on MRI using deep learning: Quantifying cerebral edema following large hemispheric infarction).

Předmět:	CEREBRAL edema DEEP learning INFARCTION EDEMA RESEARCH personnel
Zdroj:	Medical Imaging Week; 3/23/2024, p2215-2215, 1p
Abstrakt:	A recent study conducted by researchers at the Second Hospital of Hebei Medical University in China explores the use of deep learning algorithms to assess cerebral edema (CED) in patients with large hemispheric infarction (LHI). The study focuses on the automatic segmentation of cerebrospinal fluid (CSF) from T2-weighted imaging (T2WI) and its relationship to the degree of brain edema and patient outcomes. The researchers found that the hemispheric CSF ratio, calculated using the deep learning algorithm, was a reliable marker for severe cerebral edema. The study concludes that automated assessment of CSF volume can serve as an objective biomarker for cerebral edema and predict outcomes in patients with LHI. [Extracted from the article]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu