Soft-Label Anonymous Gastric X-ray Image Distillation

Understand

This paper presents a soft-label anonymous gastric X-ray image distillation method based on a gradient descent approach.

• The sharing of medical data is demanded to construct high-accuracy computer-aided diagnosis (CAD) systems.
• However, the large size of the medical dataset and privacy protection are remaining problems in medical data sharing, which hindered the research of CAD systems.
• The idea of our distillation method is to extract the valid information of the medical dataset and generate a tiny distilled dataset that has a different data distribution.