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PROOF-OF-CONCEPT USE OF MACHINE LEARNING TO PREDICT TUMOR RECURRENCE OF EARLY-STAGE HEPATOCELLULAR CARCINOMA BEFORE THERAPY USING BASELINE MAGNETIC RESONANCE IMAGING
Author(s) -
Ramesh Batra,
Ahmet Kuecuekkaya,
Tal Zeevi,
Rajiv Raju,
Nathan Chai,
Stefan P. Haider,
Mohamed Elbanan,
Alexandra Petukhova,
MingDe Lin,
John A. Onofrey,
Michał Nowak,
Kenneth W. Cooper,
Elizabeth Thomas,
Bernhard Gebauer,
Lawrence H. Staib,
Julius Chapiro
Publication year - 2020
Publication title -
transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.45
H-Index - 204
eISSN - 1534-6080
pISSN - 0041-1337
DOI - 10.1097/01.tp.0000698472.65040.1e
Subject(s) - medicine , hepatocellular carcinoma , magnetic resonance imaging , stage (stratigraphy) , liver transplantation , adjuvant therapy , retrospective cohort study , survival analysis , radiology , surgery , transplantation , cancer , biology , paleontology

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