Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
oleh: Sabri Eyuboglu, Geoffrey Angus, Bhavik N. Patel, Anuj Pareek, Guido Davidzon, Jin Long, Jared Dunnmon, Matthew P. Lungren
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-03-01 |
Deskripsi
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.