PROOF-OF-CONCEPT USE OF MACHINE LEARNING TO PREDICT TUMOR RECURRENCE OF EARLY-STAGE HEPATOCELLULAR CARCINOMA BEFORE THERAPY USING BASELINE MAGNETIC RESONANCE IMAGING | Zendy

Ramesh Batra | Zendy; Ahmet Kuecuekkaya | Zendy; Tal Zeevi | Zendy; Rajiv Raju | Zendy; Nathan Chai | Zendy; Stefan P. Haider | Zendy; Mohamed Elbanan | Zendy; Alexandra Petukhova | Zendy; MingDe Lin | Zendy; John A. Onofrey | Zendy; Michał Nowak | Zendy; Kirsten Cooper | Zendy; Elizabeth Thomas | Zendy; Bernhard Gebauer | Zendy; Lawrence H. Staib | Zendy; Julius Chapiro | Zendy

Open Access

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,

Kirsten 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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