Object With the development of deep learning, the number of training samples for medical
image-based diagnosis and treatment models is increasing. Generative Adversarial …

Generative adversarial networks (GANs) and their variants as an effective method for
generating visually appealing images have shown great potential in different medical …

Segmentation of the left ventricle is a key approach in Cardiac Magnetic Resonance
Imaging for calculating biomarkers in diagnosis. Since there is substantial effort required …

Medical image translation holds significant value, but its difficulty is amplified due to
variations in noise patterns and the requisite anatomical invariance of image content …

Objective. Training data with annotations are scarce in the intelligent diagnosis of
retinopathy of prematurity (ROP), and existing typical data augmentation methods cannot …

Background Late gadolinium enhancement cardiac magnetic resonance imaging (LGE-
CMR) is a valuable cardiovascular imaging technique. Segmentation of cardiac chambers …

Metallographic analysis is one of the most commonly used techniques by materials
scientists for studying metal materials. The deep learning methods, which have been widely …

Object: With the development of deep learning, the number of training samples for medical
image-based diagnosis and treatment models is increasing. Generative Adversarial …