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A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Multi-class segmentation of cardiac magnetic resonance (CMR) images seeks a separation of data into anatomical components with known structure and configuration. The most popular CNN-based methods are optimised using pixel wise loss functions, ignorant of the spatially extended features that charact...
Tallennettuna:
| Julkaisussa: | IEEE Trans Med Imaging |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2022
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7614102/ https://ncbi.nlm.nih.gov/pubmed/36044487 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2022.3203309 |
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