HIGHLIGHTS
- who: Shilpa Sharma et al. from the School of Computer Science Engineering, Lovely Professional University, Phagwara, India have published the research work: A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs, in the Journal: Mathematical Problems in Engineering of 14/06/2022
- what: The authors have proposed a deep learningbased model to detect ACL and meniscus tears and other knee abnormalities. The authors employed a rather simple model with ResNet50 as a base, and the authors focused on getting similar results to the state-of-the-art models by using as . . .
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