Trained Generative and Classification Models from "Generating Synthetic Past and Future States of Knee Osteoarthritis Radiographs Using Cycle-Consistent Generative Adversarial Neural Networks

This repository encompasses the fully trained Cycle-Consistent Generative Adversarial Neural Networks and the EfficientNetV2 Classification model from the paper "Generating Synthetic Past and Future States of Knee Osteoarthritis Radiographs Using Cycle-Consistent Generative Adversarial Neural Networks", published in Computers in Biology and Medicine (Elsevier) https://www.sciencedirect.com/science/article/pii/S0010482525001350. To load these models effectively, users must have TensorFlow/Keras installed and be running Python version 3.7 or higher.