April 24, 2024, 4:44 a.m. | Shixuan Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev, Jiancheng Yang, Jessica Zhang, Daniel Berger, Jeff W. Lichtman, Hanspeter Pfister, Donglai Wei

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.14435v1 Announce Type: new
Abstract: Part segmentation is a crucial task for 3D curvilinear structures like neuron dendrites and blood vessels, enabling the analysis of dendritic spines and aneurysms with scientific and clinical significance. However, their diversely winded morphology poses a generalization challenge to existing deep learning methods, which leads to labor-intensive manual correction. In this work, we propose FreSeg, a framework of part segmentation tasks for 3D curvilinear structures. With Frenet-Frame-based point cloud transformation, it enables the models to …

abstract analysis arxiv challenge clinical cs.cv deep learning eess.iv enabling however labor leads neuron part scientific segmentation significance type

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