🍩 Database of Original & Non-Theoretical Uses of Topology
(found 4 matches in 0.00115s)
-
-
A Collaborative Visual Analytics Suite for Protein Folding Research (2014)
William Harvey, In-Hee Park, Oliver Rübel, Valerio Pascucci, Peer-Timo Bremer, Chenglong Li, Yusu Wang -
Topology-Aware Segmentation Using Discrete Morse Theory (2021)
Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao ChenAbstract
In the segmentation of fine-scale structures from natural and biomedical images, per-pixel accuracy is not the only metric of concern. Topological correctness, such as vessel connectivity and membrane closure, is crucial for downstream analysis tasks. In this paper, we propose a new approach to train deep image segmentation networks for better topological accuracy. In particular, leveraging the power of discrete Morse theory (DMT), we identify global structures, including 1D skeletons and 2D patches, which are important for topological accuracy. Trained with a novel loss based on these global structures, the network performance is significantly improved especially near topologically challenging locations (such as weak spots of connections and membranes). On diverse datasets, our method achieves superior performance on both the DICE score and topological metrics. -
Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration (2017)
Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris Metaxas, Leon AxelAbstract
In cardiac image analysis, it is important yet challenging to reconstruct the trabeculae, namely, fine muscle columns whose ends are attached to the ventricular walls. To extract these fine structures, traditional image segmentation methods are insufficient. In this paper, we propose a novel method to jointly detect salient topological handles and compute the optimal representations of them. The detected handles are considered hypothetical trabeculae structures. They are further screened using a classifier and are then included in the final segmentation. We show in experiments the significance of our contribution compared with previous standard segmentation methods without topological priors, as well as with previous topological method in which non-optimal representations of topological handles are used.