Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

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, but labeled data is scarce and PET/CT imaging exams are cumbersome. Here, the authors describe a weak supervision framework that extracts regional abnormality labels from free-text radiology repor...

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Autores principales: Sabri Eyuboglu, Geoffrey Angus, Bhavik N. Patel, Anuj Pareek, Guido Davidzon, Jin Long, Jared Dunnmon, Matthew P. Lungren
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/a1223497f5fb42e59a1b4db5fc7d7eff
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spelling oai:doaj.org-article:a1223497f5fb42e59a1b4db5fc7d7eff2021-12-02T11:44:50ZMulti-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT10.1038/s41467-021-22018-12041-1723https://doaj.org/article/a1223497f5fb42e59a1b4db5fc7d7eff2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22018-1https://doaj.org/toc/2041-1723Computational decision support systems could provide clinical value in whole-body FDG PET/CT workflows, but labeled data is scarce and PET/CT imaging exams are cumbersome. Here, the authors describe a weak supervision framework that extracts regional abnormality labels from free-text radiology reports.Sabri EyubogluGeoffrey AngusBhavik N. PatelAnuj PareekGuido DavidzonJin LongJared DunnmonMatthew P. LungrenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Sabri Eyuboglu
Geoffrey Angus
Bhavik N. Patel
Anuj Pareek
Guido Davidzon
Jin Long
Jared Dunnmon
Matthew P. Lungren
Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
description Computational decision support systems could provide clinical value in whole-body FDG PET/CT workflows, but labeled data is scarce and PET/CT imaging exams are cumbersome. Here, the authors describe a weak supervision framework that extracts regional abnormality labels from free-text radiology reports.
format article
author Sabri Eyuboglu
Geoffrey Angus
Bhavik N. Patel
Anuj Pareek
Guido Davidzon
Jin Long
Jared Dunnmon
Matthew P. Lungren
author_facet Sabri Eyuboglu
Geoffrey Angus
Bhavik N. Patel
Anuj Pareek
Guido Davidzon
Jin Long
Jared Dunnmon
Matthew P. Lungren
author_sort Sabri Eyuboglu
title Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
title_short Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
title_full Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
title_fullStr Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
title_full_unstemmed Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
title_sort multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body fdg-pet/ct
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/a1223497f5fb42e59a1b4db5fc7d7eff
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