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.
Zixiao Zhao, Jing Sun, Zhe Hou et al.
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