Automated assessment of midline shift in head injury patients
Author:
Publisher
Elsevier BV
Subject
Neurology (clinical),General Medicine,Surgery
Reference20 articles.
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2. Outcome prediction in severe head injury: analyses of clinical prognostic factors;Ono;J Clin Neurosci,2001
3. Lateral displacement of the brain and level of consciousness in patients with an acute hemispheral mass;Ropper;N Engl J Med,1986
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5. A simple genetic algorithm for tracing the deformed midline on a single slice of brain CT using quadratic Bézier curves;Liao,2006
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1. Three dimensional convolutional neural network-based automated detection of midline shift in traumatic brain injury cases from head computed tomography scans;Journal of Neurosciences in Rural Practice;2024-02-29
2. Automated Midline Shift Detection and Quantification in Traumatic Brain Injury: A Comprehensive Review;Indian Journal of Neurotrauma;2024-01-31
3. A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage;Scientific Reports;2023-06-20
4. A Weakly Supervised-Guided Soft Attention Network for Classification of Intracranial Hemorrhage;IEEE Transactions on Cognitive and Developmental Systems;2023-03
5. Prior knowledge-based precise diagnosis of blend sign from head computed tomography;Frontiers in Neuroscience;2023-02-10
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