A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

Research article (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020) · cited 228× · AI/ML
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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-topological-loss-function-for-deep-learning-based-image-segmentation-using-persistent-homology
MLA “A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-topological-loss-function-for-deep-learning-based-image-segmentation-using-persistent-homology.
BibTeX @misc{4ortxyz_a-topological-loss-function-for-deep-learning-based-image-segmentation-using-persistent-homology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology}}, year = {2026}, url = {https://4ort.xyz/entity/a-topological-loss-function-for-deep-learning-based-image-segmentation-using-persistent-homology}, note = {Accessed: 2026-05-24}}
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