Medical image segmentation is a critical component in clinical practice, facilitating accurate
diagnosis, treatment planning, and disease monitoring. However, existing methods, often …

Large Vision-Language Models (LVLMs) are capable of handling diverse data types such as
imaging, text, and physiological signals, and can be applied in various fields. In the medical …

Segmentation foundation models have attracted great interest, however, none of them are
adequate enough for the use cases in 3D computed tomography scans (CT) images …

Current interactive segmentation approaches, inspired by the success of META's Segment
Anything model, have achieved notable advancements, however, they come with substantial …

Volumetric medical image segmentation is an indispensable part of accurate diagnosis,
treatment planning, and image-guided interventions. It entails the delineation of structures …

Medical image segmentation is a crucial step for accurate diagnosis and treatment planning,
as it provides quantitative informa-tion about anatomical structures and pathological lesions …