POS0892 AN END-TO-END MACHINE LEARNING PIPELINE FOR THE AUTOMATED DETECTION OF RADIOGRAPHIC HAND OST...
POS0892 AN END-TO-END MACHINE LEARNING PIPELINE FOR THE AUTOMATED DETECTION OF RADIOGRAPHIC HAND OSTEOARTHRITIS: A NO-CODING PLATFORM EXPERIENCE
About this item
Full title
Author / Creator
Caratsch, L. , Lechtenboehmer, C. , Caorsi, M. , Oung, K. , Zanchi, F. , Aleman, Y. , Omoumi, P. and Hügle, T.
Publisher
Kidlington: Elsevier B.V
Journal title
Language
English
Formats
Publication information
Publisher
Kidlington: Elsevier B.V
Subjects
More information
Scope and Contents
Contents
Machine learning's performances in the field of radiology have been constantly increasing in recent years such that nowadays many algorithms equals human performances and are FDA approved.[1,2] Non-coding platforms have recently emerged and allow healthcare professionals with no programming experience to play an active role in the development of ma...
Alternative Titles
Full title
POS0892 AN END-TO-END MACHINE LEARNING PIPELINE FOR THE AUTOMATED DETECTION OF RADIOGRAPHIC HAND OSTEOARTHRITIS: A NO-CODING PLATFORM EXPERIENCE
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2825273792
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2825273792
Other Identifiers
ISSN
0003-4967
E-ISSN
1468-2060
DOI
10.1136/annrheumdis-2023-eular.3422
