Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
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Updated
Apr 15, 2021 - Python
Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
MRI-based semi-automated detection of ACL(Anterior Cruciate Ligament) injury using PyTorch
A Streamlit application in Python with deep learning based models to assess ligament tear as well as the grade of the tear
Predictive model to classify knee injury risk based on biomechanical data using a Random Forest classifier.
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