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An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy

Crossref DOI link: https://doi.org/10.1007/s00432-025-06119-8

Published Online: 2025-02-14

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

Authors

Chen, Yi

Pasquier, David https://orcid.org/0000-0001-6019-7309
Verstappen, Damon

Woodruff, Henry C.

Lambin, Philippe
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Text and Data Mining valid from 2025-02-14

Version of Record valid from 2025-02-14
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Article History

Received: 24 June 2024

Accepted: 23 January 2025

First Online: 14 February 2025

Declarations

:

: This research study was conducted retrospectively from data obtained for clinical purposes. The study protocols were in compliance with the French Regulation for retrospective studies (MR004).

: Not applicable.

: Consent for participation was obtained in compliance with the French Regulation for retrospective studies.

: The authors declare no competing interests.

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