Applying a machine learning-based approach to predict distant-relapse-free survival in upfront resectable pancreatic adenocarcinoma based on CT radiomics. (December 2021)

Record Type:
Journal Article
Title:
Applying a machine learning-based approach to predict distant-relapse-free survival in upfront resectable pancreatic adenocarcinoma based on CT radiomics. (December 2021)
Main Title:
Applying a machine learning-based approach to predict distant-relapse-free survival in upfront resectable pancreatic adenocarcinoma based on CT radiomics
Authors:
Mori, M.
Palumbo, D.
Crippa, S.
Partelli, S.
Reni, M.
Del Vecchio, A.
Falconi, M.
De Cobelli, F.
Fiorino, C.
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:
S50
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)00111-9 ↗
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
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Ingest File:
20857.xml