With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …

Breast tumor segmentation from ultrasound images is one of the key steps that help us
characterize and localize tumor regions. However, variable tumor morphology, blurred …

The automatic and accurate medical ultrasound image segmentation has been a
challenging task due to the coupled interference of various internal and external factors. In …

Segmentation of breast ultrasound images is a crucial and challenging task in computer-
aided diagnosis systems. Accurately segmenting masses in benign and malignant cases …

Salient instance segmentation (SIS) is an emerging field that evolves from salient object
detection (SOD), aiming at identifying individual salient instances using segmentation maps …

Recently, many attempts have been made to construct a transformer base U-shaped
architecture, and new methods have been proposed that outperformed CNN-based rivals …

Prostate cancer is one of the most commonly diagnosed non-cutaneous malignant tumors
and the sixth major cause of cancer-related death generally found in men globally …

Breast cancer is a prevalent type of cancer that significantly impacts women health and
stands as a leading cause of death. In clinical settings, automated breast tumor …

Ultrasound image segmentation research is of great significance, especially in medical
diagnosis and clinical treatment. However, speckle noise caused by reflections from different …

In addressing the challenges of medical image segmentation, particularly the elusiveness of
global context and limitations in leveraging both global and local context simultaneously, we …