Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference

Volume: 49, Issue: 8, Pages: 1207 - 1217
Published: Mar 13, 2020
Abstract
Objective To clinically validate a fully automated deep convolutional neural network (DCNN) for detection of surgically proven meniscus tears. Materials and methods One hundred consecutive patients were retrospectively included, who underwent knee MRI and knee arthroscopy in our institution. All MRI were evaluated for medial and lateral meniscus tears by two musculoskeletal radiologists independently and by DCNN. Included patients were not part...
Paper Details
Title
Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference
Published Date
Mar 13, 2020
Volume
49
Issue
8
Pages
1207 - 1217
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