Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Understand

Recent progress in biomedical image segmentation based on deep convolutional neural networks (CNNs) has drawn much attention.

• However, its vulnerability towards adversarial samples cannot be overlooked.
• This paper is the first one that discovers that all the CNN-based state-of-the-art biomedical image segmentation models are sensitive to adversarial perturbations.
• This limits the deployment of these methods in safety-critical biomedical fields.