A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs
Author(s) -
Shilpa Sharma,
Mohammad Umer,
Avinash Bhagat,
Jeevan Bala,
Punam Rattan,
Abdul Wahab Rahmani
Publication year - 2022
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2022/5248338
Subject(s) - magnetic resonance imaging , meniscus , medial meniscus , receiver operating characteristic , artificial intelligence , computer science , tears , medicine , machine learning , radiology , osteoarthritis , mathematics , surgery , pathology , geometry , alternative medicine , incidence (geometry)
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