Journal Article

DKFZ-2025-01722

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE.

Wei, N. ; Mathy, R. M. ; Chang, D.-H. ; Mayer, P. ; Liermann, J. ; Springfeld, C. ; Dill, M.DKFZ* ; Longerich, T. ; Lurje, G. ; Kauczor, H.-U. ; Wielpütz, M. O. ; Öcal, O.

2025
BioMed Central London

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Please use a persistent id in citations: doi:10.1186/s40644-025-00926-5

Keyword(s): Deep learning ; HCC ; Machine learning ; Siamese network ; Tumor response

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Contributing Institute(s):

1. NWG Experimentelle Hepatologie, Entzündung und Krebs (D500)

Research Program(s):

1. 314 - Immunologie und Krebs (POF4-314) (POF4-314)

Appears in the scientific report 2025

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Database coverage:
; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DOAJ Seal ; Essential Science Indicators ; Fees ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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