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Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study

Crossref DOI link: https://doi.org/10.1186/s13014-024-02409-6

Published Online: 2024-01-22

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mansouri, Zahra

Salimi, Yazdan

Amini, Mehdi

Hajianfar, Ghasem

Oveisi, Mehrdad

Shiri, Isaac

Zaidi, Habib
Funding

Funding for this research was provided by:

Óbuda University
License Information

Text and Data Mining valid from 2024-01-22

Version of Record valid from 2024-01-22
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Article History

Received: 11 April 2023

Accepted: 17 January 2024

First Online: 22 January 2024

Declarations

:

: This study used data from The Cancer Imaging Archive (TCIA) open access repository.

: The authors consent to publish the manuscript in its current form.

: The authors declare that they have no competing interests.

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