Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training
paradigm, successfully introduces text supervision to vision models. It has shown promising …

Objective Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only
curative treatment relies on open or endovascular repair. The decision to treat relies on the …

Accurately segmenting retinal vessel from retinal images is essential for the detection and
diagnosis of many eye diseases. However, it remains a challenging task due to (1) the large …

Breast cancer is a great threat to females. Ultrasound imaging has been applied extensively
in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast …

Aortic dissection (AD) is a condition of the main artery of the human body, resulting in the
formation of a new flow channel, or false lumen. The disease is usually diagnosed with a …

Deep learning (DL) has become widely used for medical image segmentation in recent
years. However, despite these advances, there are still problems for which DL-based …

Neural cell instance segmentation, which aims at joint detection and segmentation of every
neural cell in a microscopic image, is essential to many neuroscience applications. The …

Purpose This study sought to establish a robust and fully automated Type B aortic dissection
(TBAD) segmentation method by leveraging the emerging deep learning techniques …

Advances in technology have always had the potential and opportunity to shape the practice
of medicine, and in no medical specialty has technology been more rapidly embraced and …

Purpose The quantitative analysis of contrast-enhanced Computed Tomography
Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform …