Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
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Updated
Aug 8, 2024 - Python
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit
Knee Osteoarthritis Analysis with X-ray Images using CNN
Knee osteoarthritis analysis with X-ray images using CNN with Squeeze-and-Excitation blocks
This is the implementation of the paper "Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective". We use some simple Machine Learnign methods and the data from OAI.
Using Convolutional Nerual Networks in Knee Cartilage Segmentation from Ultrasound Images
Matlab code for analyzing MRI knee geometry
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