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A methodological framework for integrating generalisable deep learning and radiomics fusion model for early lung cancer detection across multi-centre imaging datasets

Crossref DOI link: https://doi.org/10.1186/s12911-026-03624-9

Published Online: 2026-06-11

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

Authors

Tshivhula, Ndivho

Mbunge, Elliot

Makaba, Tebogo
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Text and Data Mining valid from 2026-06-11

Version of Record valid from 2026-08-18
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Article History

Received: 29 January 2026

Accepted: 4 June 2026

First Online: 11 June 2026

Declarations

Ethics approval and consent to participate: Ethical clearance was obtained from the University of Johannesburg’s Faculty of Science Ethics Committee (Ethical approval: SCIISREC3/7 8pt2 ). Informed consent requirements were managed in accordance with the ethics approval conditions and applicable regulations.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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