Crossmark

Multi-classification of brain tumors using proposed hybrid quantum–classical integrated neural network (HQCINN) models: shallow and deep circuit approaches

Crossref DOI link: https://doi.org/10.1007/s00521-025-11522-w

Published Online: 2025-08-13

Published Print: 2025-09

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

Authors

Akpinar, Emine

Islam, Sardar M. N.

Oduncuoglu, Murat
Funding

Funding for this research was provided by:

Yildiz Teknik Üniversitesi (5936)

Yildiz Teknik Üniversitesi (5936)

TUBITAK (124F213)
License Information

Text and Data Mining valid from 2025-08-13

Version of Record valid from 2025-08-13
More Information

Article History

Received: 17 October 2024

Accepted: 9 July 2025

First Online: 13 August 2025

Declarations

:

: The authors declare that they have no conflicts of interest.

: The datasets used in this study are publicly available on the Kaggle platform. The datasets are de-identified and do not contain any personally identifiable information. Therefore, our study did not require approval from an institutional review board or compliance with the Health Insurance Portability and Accountability Act.

Document is current

Any future updates will be listed below