Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
-
Updated
Jan 3, 2022 - Python
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
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
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
Add a description, image, and links to the osteoarthritis topic page so that developers can more easily learn about it.
To associate your repository with the osteoarthritis topic, visit your repo's landing page and select "manage topics."