Objectives: Accurate segmentation of craniomaxillofacial (CMF) structures and individual teeth is essential for advancing computer-assisted CMF surgery. This study developed CMF-ELSeg, a novel fully ...

Abstract: Ocular surface diseases affect a significant portion of the population worldwide. Accurate segmentation and quantification of different ocular surface structures are crucial for the ...

Background: With global aging and lifestyle changes, carotid atherosclerotic plaques are a major cause of cerebrovascular disease and ischemic stroke. However, ultrasound images suffer from high noise ...

Lumbar disc herniation (LDH) is a prevalent cause of low back pain. LDH patients commonly experience paraspinal muscle atrophy and fatty infiltration (FI), which further exacerbates the symptoms of ...

Abstract: Accurate segmentation of blood vessels is essential for various clinical assessments and postoperative analyses. However, the inherent challenges of vascular imaging—such as sparsity, fine ...

This project focuses on automatic segmentation of echocardiographic images using the U-Net architecture with various encoders. The CAMUS dataset is used to segment the left ventricle Endocardium ...

Unsupervised semantic segmentation aims to discover groupings within images, capturing objects' view-invariance without external supervision. This task is inherently ambiguous due to the variable ...