Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma ; volume:50 ; number:13 ; day:19 ; month:8 ; year:2023 ; pages:3996-4009 ; date:11.2023
European journal of nuclear medicine and molecular imaging ; 50, Heft 13 (19.8.2023), 3996-4009, 11.2023

Classification: Medizin, Gesundheit

Creator: Gu, Bingxin
Meng, Mingyuan
Xu, Mingzhen
Feng, David Dagan
Bi, Lei
Kim, Jinman
Song, Shaoli

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00259-023-06399-7

URN: urn:nbn:de:101:1-2024011608062516562647

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

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Gu, Bingxin
Meng, Mingyuan
Xu, Mingzhen
Feng, David Dagan
Bi, Lei
Kim, Jinman
Song, Shaoli
SpringerLink (Online service)

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Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma

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