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TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
Inf Process Med Imaging. 2023 Jun;13939:303-315. doi: 10.1007/978-3-031-34048-2_24. Epub 2023 Jun 8.ABSTRACTConvolutional neural networks (CNN) have been broadly studied on images, videos, graphs, and triangular meshes. However, it has seldom been studied on tetrahedral meshes. Given the merits of using volumetric meshes in applications like brain image analysis, we introduce a novel interpretable graph CNN framework for the tetrahedral mesh structure. Inspired by ChebyNet, our model exploits the volumetric Laplace-Beltrami Operator (LBO) to define filters over commonly used graph Laplacian which lacks the Riemannian metri...
Source: Inf Process Med Imaging - January 5, 2024 Category: Radiology Authors: Mohammad Farazi Zhangsihao Yang Wenhui Zhu Peijie Qiu Yalin Wang Source Type: research