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The rapid identification and diagnosis of meniscus injuries by Magnetic Resonance Imaging using a deep learning model
[article]
2022
medRxiv
pre-print
Objective: The meniscus tear is a common problem in sports trauma. The imaging diagnosis mainly depends on the MRI. To improve the diagnostic accuracy and efficiency, a deep learning model was employed in this study and the identification efficiency has been evaluated. Methods: The standard knee MRI images of 924 individual patients were used to complete the training, validation, and testing process. The Mask R-CNN was considered as the deep learning network structure, and the ResNet50 was
doi:10.1101/2022.01.11.22269112
fatcat:ofnsdbxcwbd5dgyze7huxlc3su