Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
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Updated
Feb 16, 2024 - Python
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
An interactive open-source CLI tool built on top of Ansible, used to automate infrastructure setup.
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
Shoot a knarrow to the knee
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.
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in ROS.
Add a description, image, and links to the knee topic page so that developers can more easily learn about it.
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