Deep learning-based prediction of mortality using brain midline shift and clinical information

Deep learning-based prediction of mortality using brain midline shift and clinical information

Brain midline shift (MLS) indicates the severity of mass effect from intracranial lesions such as traumatic brain injury, stroke, brain tumor, or hematoma. Brain MLS can be used to determine whether patients require emergency surgery and to predict patients' prognosis. Since brain MLS is usuall...

Full description

Saved in:
Bibliographic Details
Main Authors: An-Rong Wu, Sun-Yuan Hsieh, Hsin-Hung Chou, Cheng-Shih Lai, Jo-Ying Hung, Bow Wang, Yi-Shan Tsai
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Artificial intelligence
Medical intelligence
Brain midline shift
Midline detection
Keypoint detection network
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024173021
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024173021

Similar Items