Abstract: In recent years, there has been a growing demand for remote sensing image semantic segmentation in various applications. The key to semantic segmentation lies in the ability to globally ...

Abstract: Multi-lesion segmentation in diabetic retinopathy faces numerous challenges, including complex fundus structures, small inter-class differences between lesions, blurred lesion boundaries, ...

Background: Medical image segmentation is a critical task for the early detection and diagnosis of various conditions, such as skin cancer, polyps, thyroid nodules, and pancreatic tumors. Recently, ...

(1) Duration (Days): This represents the total time span of the dataset, calculated as the number of days between the first and the last check-in recorded in the entire dataset. For instance, the ...