RobMedNAS: searching robust neural network architectures for medical image synthesis
Jinnian Zhang, Weijie Chen, Tanmayee Joshi, Meltem Uyanik, Xiaomin Zhang, Po‐Ling Loh, Varun Jog, Richard J. Bruce, John W. Garrett, Alan B. McMillan · Biomedical Physics & Engineering Express · 2024
Investigating U-Net model robustness in medical image synthesis against adversarial perturbations, this study introduces RobMedNAS, a neural architecture search strategy for identifying resilient U-Net configurations. Through retrospective analysis of synthesized CT from MRI data, employing Dice coefficient and mean absolute error metrics across critical anatomical areas, the study evaluates traditional U-Net models and RobMedNAS-optimized models under adversarial attacks. Findings demonstrate RobMedNAS's efficacy in enhancing U-Net resilience without compromising on accuracy, proposing a novel pathway for robust medical image processing.