Development and performance comparison with radiologists of a multitask deep learning model for severity grading of hip osteoarthritis features on radiographs. Issue 1 (April 2020)

Record Type:
Journal Article
Title:
Development and performance comparison with radiologists of a multitask deep learning model for severity grading of hip osteoarthritis features on radiographs. Issue 1 (April 2020)
Main Title:
Development and performance comparison with radiologists of a multitask deep learning model for severity grading of hip osteoarthritis features on radiographs
Authors:
von Schacky, C.E.
Sohn, J.
Foreman, S.C.
Liu, F.
Jungmann, P.M.
Nardo, L.
Ozhinsky, E.
Posadzy, M.
Nevitt, M.C.
Link, T.M.
Pedoia, V.
Abstract:
Is Part Of:
Osteoarthritis and cartilage. Volume 28:Issue 1(2020)supplement
Journal:
Osteoarthritis and cartilage
Issue:
Volume 28:Issue 1(2020)supplement
Issue Display:
Volume 28, Issue 1 (2020)
Year:
2020
Volume:
28
Issue:
1
Issue Sort Value:
2020-0028-0001-0000
Page Start:
S306
Page End:
S308
Publication Date:
2020-04
Subjects:
Osteoarthritis -- Periodicals
Cartilage -- Periodicals
Osteoarthritis -- Periodicals
Cartilage -- Periodicals
Arthrose -- Périodiques
Articulations -- Maladies -- Périodiques
616.7223005
Journal URLs:
http://www.sciencedirect.com/science/journal/10634584 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/10634584 ↗
http://www.elsevier.com/journals ↗
DOI:
10.1016/j.joca.2020.02.479 ↗
Languages:
English
ISSNs:
1063-4584
Deposit Type:
Legaldeposit
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library DSC - 6303.858870
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Ingest File:
14984.xml