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Knee Injury Detection Using Deep Learning on MRI Studies: A Systematic Review
2022
Diagnostics
The improved treatment of knee injuries critically relies on having an accurate and cost-effective detection. In recent years, deep-learning-based approaches have monopolized knee injury detection in MRI studies. The aim of this paper is to present the findings of a systematic literature review of knee (anterior cruciate ligament, meniscus, and cartilage) injury detection papers using deep learning. The systematic review was carried out following the PRISMA guidelines on several databases,
doi:10.3390/diagnostics12020537
pmid:35204625
pmcid:PMC8871256
fatcat:xp7vdedh35exjhakh7qvdzorie