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Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
Computational decision support systems could provide clinical value in whole-body FDG-PET/CT workflows. However, limited availability of labeled data combined with the large size of PET/CT imaging exams make it challenging to apply existing supervised machine learning systems. Leveraging recent adva...
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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7994797/ https://ncbi.nlm.nih.gov/pubmed/33767174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-22018-1 |
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