Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer-Reference-Cited by-同舟云学术

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer

Published:2024-02 Issue: Volume:244 Page:107939
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

De Biase Alessia^ORCID,Ma Baoqiang^ORCID,Guo Jiapan^ORCID,van Dijk Lisanne V.,Langendijk Johannes A.^ORCID,Both Stefan,van Ooijen Peter M.A.^ORCID,Sijtsema Nanna M.^ORCID

Funder

China Scholarship Council

Hanarth Fund Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference27 articles.

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5. Multi-transSP: multimodal transformer for survival prediction of nasopharyngeal carcinoma patients;Zheng;Lect. Notes Comput. Sci.,2022

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