Background: Abdominal ultrasonography is a primary diagnostic tool for evaluating medical conditions within the abdominal cavity. Accurate determination of the relative locations of intra-abdominal ...
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 ...
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 ...
Abstract: Domain adaptive LiDAR point cloud segmentation aims to develop an effective target segmentation model using labeled source data and unlabeled target data. Existing domain adaptation methods ...
This project focuses on the automatic segmentation of fetal biometric structures from ultrasound images using deep learning, specifically U-Net architectures. The model is trained on the Fetal Head ...
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