Automated Severity Classification of Knee Osteoarthritis from Radiographs Using Transfer Learning Based Deep Neural Networks

Key Points

• The study aims to develop an automated system for classifying the severity of knee osteoarthritis from radiographic images using deep learning techniques.
• Utilized transfer learning techniques with deep neural networks
• Analyzed radiographic images of knee joints
• Implemented a classification system to assess severity levels
• The automated classification system demonstrated high accuracy
• Improved diagnostic capabilities compared to traditional methods
• Successfully identified different severity levels with minimal errors