Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study
The A bw 10 model was identified as the most efficient mono-phasic model in differentiating small RO from ccRCC.
Authors
- Claudio Bandini (ORCID: https://orcid.org/0000-0001-7836-1402)
- Martina Chiellini
- Salvatore Claudio Fanni (ORCID: https://orcid.org/0000-0002-4003-3320)
- Giorgio Pomara
- Riccardo Lencioni (ORCID: https://orcid.org/0000-0002-8535-6449)
- Roberto Francischello (ORCID: https://orcid.org/0000-0002-4161-0193)
- Dania Cioni
- Maria Febi (ORCID: https://orcid.org/0009-0003-6041-3552)
- Lorenzo Faggioni (ORCID: https://orcid.org/0000-0001-5262-4489)
- Emanuele Neri
Institutions
- University of Pisa (IT)
- Azienda Ospedaliera Universitaria Pisana (IT)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1016/j.ejro.2024.100604
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- European Commission
- Ministero dell’Istruzione, dell’Università e della Ricerca
- Università di Pisa