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Uncertain-DeepSSM: From Images to Probabilistic Shape Models
Statistical shape modeling (SSM) has recently taken advantage of advances in deep learning to alleviate the need for a time-consuming and expert-driven workflow of anatomy segmentation, shape registration, and the optimization of population-level shape representations. DeepSSM is an end-to-end deep...
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| Publicado no: | Shape Med Imaging (2020) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8011333/ https://ncbi.nlm.nih.gov/pubmed/33817703 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-61056-2_5 |
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