Towards Fully Automated Medical Imaging Code Generation via Validation-Based Context Engineering
This work proposes AutoMedImg, a multi-agent framework for fully automated medical image processing code generation that achieves zero human intervention, with Dice scores of up to 0.90 for segmentation tasks and 99% accuracy for classification.
Zi-Xiao Zhao, Jing Sun, Zhe Hou et al.
· Proceedings of the 41st IEEE... · 0 citations