Medical image segmentation is a critical task in clinical applications. Recently, the Segment
Anything Model (SAM) has demonstrated potential for natural image segmentation …

Given a natural language expression and a remote sensing image, the goal of referring
remote sensing image segmentation (RRSIS) is to generate a pixel-level mask of the target …

Improving the automatic and timely recognition of construction and demolition waste
(C&DW) composition is crucial for enhancing business returns, economic outcomes, and …

In clinical practice of echocardiography examinations, multiple planes containing the heart
structures of different view are usually required in screening, diagnosis and treatment of …

PolSAR data presents unique challenges due to its rich and complex characteristics.
Existing data representations, such as complex-valued data, polarimetric features, and …

The advent of the Segment Anything Model (SAM) marks a significant milestone for
interactive segmentation using generalist models. As a late fusion model, SAM extracts …

Radiographic testing is a fundamental non-destructive evaluation technique for identifying
weld defects and assessing quality in industrial applications due to its high-resolution …

In this paper, a new method for bridge disease image segmentation is introduced, in which
the data set includes exp_rebar, breakage, patch and joint. The proposed method uses the …

Early detection of polyps in the colon is crucial for preventing colorectal cancer, the second
leading cause of cancer-related deaths globally. However, accurate identification of polyps …