Journal Article

DKFZ-2026-00669

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A convolutional neural network for fully automated total metabolic tumor volume delineation in patients with aggressive Non-Hodgkin lymphoma.

Nikulin, P. ; Hoberück, S. ; Apostolova, I. ; Maus, J. ; Hüttmann, A. ; Dührsen, U. ; Kroschinsky, F. ; Kotzerke, J. ; von Bonin, M. ; Bundschuh, R. A.DKFZ* ; Braune, A. ; Hofheinz, F.

2026
Springer-Verl. Heidelberg [u.a.]

Keyword(s): Convolutional neural network ; Delineation ; FDG PET ; Non-Hodgkin lymphoma ; TMTV ; Total metabolic tumor volume

Note: epub

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Contributing Institute(s):

1. DKTK Koordinierungsstelle Dresden (DD01)

Research Program(s):

1. 899 - ohne Topic (POF4-899) (POF4-899)

Appears in the scientific report 2026

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DEAL Springer ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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