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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Detalles Bibliográficos
Autores principales: Eyuboglu, Sabri, Angus, Geoffrey, Patel, Bhavik N., Pareek, Anuj, Davidzon, Guido, Long, Jin, Dunnmon, Jared, Lungren, Matthew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994797/
https://www.ncbi.nlm.nih.gov/pubmed/33767174
http://dx.doi.org/10.1038/s41467-021-22018-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994797/
https://www.ncbi.nlm.nih.gov/pubmed/33767174
http://dx.doi.org/10.1038/s41467-021-22018-1

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