Deep learning MRI analysis for automated knee injury diagnosis
Deep learning MRI analysis for automated knee injury diagnosis
About this item
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Author / Creator
Publisher
Nagercoil: iManager Publications
Journal title
Language
English
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Publication information
Publisher
Nagercoil: iManager Publications
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Scope and Contents
Contents
Magnetic Resonance Imaging (MRI) plays a pivotal role in non-invasively diagnosing knee injuries. This research focuses on cost-effective, efficient solutions for enhancing automated knee injury detection in MRI scans. The study aims to boost diagnostic accuracy for abnormalities, Anterior Cruciate Ligament (ACL) tears, and meniscal tears using adv...
Alternative Titles
Full title
Deep learning MRI analysis for automated knee injury diagnosis
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2893738868
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2893738868
Other Identifiers
ISSN
2347-2227
E-ISSN
2347-6141
DOI
10.26634/jcom.11.2.20132
