Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation

no code implementations • 25 Feb 2023 • Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang

In this work, we propose an adversarial attack-based data augmentation method to improve the deep-learning-based segmentation algorithm for the delineation of Organs-At-Risk (OAR) in abdominal Computed Tomography (CT) to facilitate radiation therapy.

Adversarial Attack Computed Tomography (CT) +3