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pro vyhledávání: '"Ukey, Janmesh"'
Statistical Shape Models (SSMs) excel at identifying population level anatomical variations, which is at the core of various clinical and biomedical applications, including morphology-based diagnostics and surgical planning. However, the effectivenes
Externí odkaz:
http://arxiv.org/abs/2407.15260
Statistical Shape Modeling (SSM) effectively analyzes anatomical variations within populations but is limited by the need for manual localization and segmentation, which relies on scarce medical expertise. Recent advances in deep learning have provid
Externí odkaz:
http://arxiv.org/abs/2403.11008
Autor:
Ukey J; Kahlert School of Computing, University of Utah.; Scientific Computing and Imaging Institute, University of Utah., Kataria T; Kahlert School of Computing, University of Utah.; Scientific Computing and Imaging Institute, University of Utah., Elhabian SY; Kahlert School of Computing, University of Utah.; Scientific Computing and Imaging Institute, University of Utah.
Publikováno v:
Shape in medical imaging : International Workshop, ShapeMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. ShapeMI (Workshop) (2024 : Marrakech, Morocco) [Shape Med Imaging (2024)] 2025; Vol. 15275, pp. 149-163. Date of Electronic Publication: 2024 Oct 26.
