Published January 14, 2026
| Version 1.0.0
Software
Open
Clinically Constrained Reinforcement Learning for Optimized Adaptive Data Augmentation in Chest X-Ray Pneumonia Classification
Authors/Creators
- 1. Department of Information Systems, Faculty of Computers and Artificial Intelligence, Matrouh University, Egypt
Description
A clinically constrained reinforcement learning framework for chest X-ray pneumonia classification. Combines CNN-Transformer architecture with PPO-based adaptive augmentation, achieving 97.23% accuracy with excellent calibration (ECE = 0.016).
Files
mmahmoudai/pneumonia-classification-ppo-transfor-cust-cnn-v1.zip
Files
(40.4 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/mmahmoudai/pneumonia-classification-ppo-transfor-cust-cnn (URL)