PH-0652 Synthetic CT from MRI with deep learning: Assessing the clinical impact of generated errors. (August 2021)
- Record Type:
- Journal Article
- Title:
- PH-0652 Synthetic CT from MRI with deep learning: Assessing the clinical impact of generated errors. (August 2021)
- Main Title:
- PH-0652 Synthetic CT from MRI with deep learning: Assessing the clinical impact of generated errors
- Authors:
- Alvarez Andres, E.
Gasnier, A.
Veres, C.
Dhermain, F.
Corbin, S.
Auville, F.
Biron, B.
Vatonne, A.
Henry, T.
Estienne, T.
Lerousseau, M.
Fidon, L.
Deutsch, E.
Paragios, N.
Robert, C. - 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:
- S520
- Page End:
- S522
- 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)07384-9 ↗
- 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:
- 19722.xml