Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies

PURPOSE: To test the hypothesis that artificial intelligence (AI) techniques can aid in identifying and assessing lesion severity in the cartilage, bone marrow, meniscus, and anterior cruciate ligament (ACL) in the knee, improving overall MRI interreader agreement. MATERIALS AND METHODS: This retros...

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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Astuto, Bruno, Flament, Io, K. Namiri, Nikan, Shah, Rutwik, Bharadwaj, Upasana, M. Link, Thomas, D. Bucknor, Matthew, Pedoia, Valentina, Majumdar, Sharmila
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2021
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8166108/
https://ncbi.nlm.nih.gov/pubmed/34142088
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2021200165
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