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
Predictive model to classify knee injury risk based on biomechanical data using a Random Forest classifier.
A Streamlit application in Python with deep learning based models to assess ligament tear as well as the grade of the tear
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