Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test-Reference-Cited by-同舟云学术

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Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test

Published:2024-07 Issue: Volume:177 Page:108675
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

De Biase Alessia^ORCID,Ziegfeld Liv^ORCID,Sijtsema Nanna Maria^ORCID,Steenbakkers Roel,Wijsman Robin,van Dijk Lisanne V.,Langendijk Johannes A.,Cnossen Fokie^ORCID,van Ooijen Peter^ORCID

Funder

Hanarth Fonds

Publisher

Elsevier BV

Reference16 articles.

1. Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients;Zukauskaite;Clin. Transl. Radiat. Oncol.,2022

2. Tumor delineation: the weakest link in the search for accuracy in radiotherapy;Njeh;J. Med. Phys.,2008

3. Target definition in prostate, head, and neck;Rasch;Semin. Radiat. Oncol.,2005

4. Skip-SCSE multi-scale Attention and Co-learning method for oropharyngeal tumor segmentation on multi-modal PET-CT images;De Biase;Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinforma,2022

5. Head and neck tumor segmentation in PET/CT: the HECKTOR challenge;Oreiller;Med. Image Anal.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing the reliability of deep learning-based head and neck tumour segmentation using uncertainty estimation with multi-modal images;Physics in Medicine & Biology;2024-08-05

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