Performance and Clinical Impact of Radiomics and 3D-CNN Models for the Diagnosis of Neurodegenerative Parkinsonian Syndromes on 18F-FDOPA PET
The developed 3D-CNN model can automatically diagnose neurodegenerative parkinsonian syndromes, also reducing diagnostic errors by 6% in less-experienced hospitals.
Authors
- Jacques Darcourt (ORCID: https://orcid.org/0000-0002-6143-713X)
- Fanny Orlhac (ORCID: https://orcid.org/0000-0002-5588-1867)
- Victor Comte (ORCID: https://orcid.org/0000-0002-8834-788X)
- Micheline Razzouk‐Cadet
- Olivier Humbert (ORCID: https://orcid.org/0000-0003-4440-5416)
- Anne-Capucine Rollet
- Thi Khuyen Le
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Centre Hospitalier Universitaire de Nice (FR)
- Centre Antoine Lacassagne (FR)
Publication Details
- Journal
- Clinical Nuclear Medicine
- Published
- 2024-08-05
- DOI
- https://doi.org/10.1097/rlu.0000000000005392
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Agence Nationale de la Recherche