Random forest regression on CT data to predict effective dose and class of effective dose in compliance to the new Italian regulation. (December 2021)

Record Type:
Journal Article
Title:
Random forest regression on CT data to predict effective dose and class of effective dose in compliance to the new Italian regulation. (December 2021)
Main Title:
Random forest regression on CT data to predict effective dose and class of effective dose in compliance to the new Italian regulation
Authors:
Ferrante, M.
De Marco, P.
Origgi, D.
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:
S138
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)00294-0 ↗
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:
20857.xml