OC-0526 Deep learning based time-to-event prediction for a large multicentric cohort of H&N cancer patients. (August 2021)
- Record Type:
- Journal Article
- Title:
- OC-0526 Deep learning based time-to-event prediction for a large multicentric cohort of H&N cancer patients. (August 2021)
- Main Title:
- OC-0526 Deep learning based time-to-event prediction for a large multicentric cohort of H&N cancer patients
- Authors:
- Lombardo, E.
Kurz, C.
Marschner, S.
Avanzo, M.
Gagliardi, V.
Fanetti, G.
Franchin, G.
Stancanello, J.
Corradini, S.
Niyazi, M.
Belka, C.
Parodi, K.
Riboldi, M.
Landry, G. - Abstract:
- Is Part Of:
- Radiotherapy and oncology. Volume 161(2021)supplement
- Journal:
- Radiotherapy and oncology
- Issue:
- Volume 161(2021)supplement
- Issue Display:
- Volume 161, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 161
- Issue:
- 2021
- Issue Sort Value:
- 2021-0161-2021-0000
- Page Start:
- S412
- Page End:
- S413
- Publication Date:
- 2021-08
- Subjects:
- Oncology -- Periodicals
Radiotherapy -- Periodicals
Tumors -- Periodicals
Medical Oncology -- Periodicals
Neoplasms -- radiotherapy -- Periodicals
Radiotherapy -- Periodicals
Radiothérapie -- Périodiques
Cancérologie -- Périodiques
Tumeurs -- Périodiques
Electronic journals
616.9940642 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01678140 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/01678140 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/01678140 ↗
http://www.estro.org/ ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/radiotherapy-and-oncology/ ↗ - DOI:
- 10.1016/S0167-8140(21)06952-8 ↗
- Languages:
- English
- ISSNs:
- 0167-8140
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7240.790000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19921.xml