Using Convolutional Nerual Networks in Knee Cartilage Segmentation from Ultrasound Images
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Updated
Apr 27, 2020 - MATLAB
Using Convolutional Nerual Networks in Knee Cartilage Segmentation from Ultrasound Images
Matlab code for analyzing MRI knee geometry
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.
Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
Knee Osteoarthritis Analysis with X-ray Images using CNN
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
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