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...
Enregistré dans:
Auteurs principaux: | Sabri Eyuboglu, Geoffrey Angus, Bhavik N. Patel, Anuj Pareek, Guido Davidzon, Jin Long, Jared Dunnmon, Matthew P. Lungren |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/a1223497f5fb42e59a1b4db5fc7d7eff |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Weak supervision as an efficient approach for automated seizure detection in electroencephalography
par: Khaled Saab, et autres
Publié: (2020) -
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
par: Jason A. Fries, et autres
Publié: (2019) -
Abnormal [18F]FDG PET/MRI findings in paraspinal structures of patients with suspected cerebrospinal fluid leak
par: Daehyun Yoon, et autres
Publié: (2021) -
FDG-PET/CT in predicting aggressiveness of rectal cancer
par: Iman Sherif Ahmed, et autres
Publié: (2021) -
UTILIDAD DEL PET-FDG EN PATOLOGÍA NEUROPEDIATRICA
par: Massardo V,Teresa, et autres
Publié: (2007)