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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology
We introduce a method for training neural networks to perform image or volume segmentation in which prior knowledge about the topology of the segmented object can be explicitly provided and then incorporated into the training process. By using the differentiable properties of persistent homology, a...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721526/ https://www.ncbi.nlm.nih.gov/pubmed/32886606 http://dx.doi.org/10.1109/TPAMI.2020.3013679 |