3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection

arXiv:2402.12128v1 Announce Type: new
Abstract: Vascular structure segmentation plays a crucial role in medical analysis and clinical applications. The practical adoption of fully supervised segmentation models is impeded by the intricacy and time-consuming nature of annotating vessels in the 3D space. This has spurred the exploration of weakly-supervised approaches that reduce reliance on expensive segmentation annotations. Despite this, existing weakly supervised methods employed in organ segmentation, which encompass points, bounding boxes, or graffiti, have exhibited suboptimal performance when handling sparse …

annotation arxiv cs.cv intensity projection segmentation type