Radiomic analysis for prediction of nodal status in lung cancer simulated data: comparison of machine learning methods. (December 2021)
- Record Type:
- Journal Article
- Title:
- Radiomic analysis for prediction of nodal status in lung cancer simulated data: comparison of machine learning methods. (December 2021)
- Main Title:
- Radiomic analysis for prediction of nodal status in lung cancer simulated data: comparison of machine learning methods
- Authors:
- Presti, G. Lo
Corso, F.
Tini, G.
Garau, N.
De Angelis, S.
Bellerba, F.
Botta, F.
Rinaldi, L.
Rizzo, S.
Origgi, D.
Rampinelli, C.
Bellomi, M.
Gandini, S.
Raimondi, S. - Abstract:
- Is Part Of:
- Physica medica. Volume 92(2021)Supplement
- Journal:
- Physica medica
- Issue:
- Volume 92(2021)Supplement
- Issue Display:
- Volume 92, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 92
- Issue:
- 2021
- Issue Sort Value:
- 2021-0092-2021-0000
- Page Start:
- S134
- Page End:
- Publication Date:
- 2021-12
- Subjects:
- Medical physics -- Periodicals
Biophysics -- Periodicals
Biophysics -- Periodicals
Imagerie médicale -- Périodiques
Radiothérapie -- Périodiques
Rayons X -- Sécurité -- Mesures -- Périodiques
Physique -- Périodiques
Médecine -- Périodiques
610.153 - Journal URLs:
- http://www.sciencedirect.com/science/journal/11201797 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/11201797 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/11201797 ↗
http://www.elsevier.com/journals ↗
http://www.physicamedica.com ↗ - DOI:
- 10.1016/S1120-1797(22)00285-X ↗
- Languages:
- English
- ISSNs:
- 1120-1797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6475.070000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20859.xml