BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection.

Overview

1. School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD 4350 Australia
2. School of Engineering, University of Southern Queensland, Toowoomba, QLD 4350 Australia

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

The paper's code and data availability statement is in the Data section.

Tracing map

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• 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
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• neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

• figshare:1512427, at figshare; found in the references
• kaggle.com/datasets/ashkhagan, at Kaggle; found in “Data availability”
• kaggle.com/datasets/hey24sheep, at Kaggle; found in “Data availability”
• kaggle.com/datasets/sartajbhuvaji, at Kaggle; found in “Data availability”

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

• it points to 3 datasets: kaggle.com/datasets/ashkhagan, kaggle.com/datasets/hey24sheep, kaggle.com/datasets/sartajbhuvaji
• it points to the authors' code: kaggle.com/code/ahmedhamada0

Read it in the paper: doi.org/10.1186/s40708-026-00303-3.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 7 keywords, 1 funder, 30 references.

Cite

This paper

Ahad, M. T., Song, B., & Li, Y. (2026). BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection. Brain informatics, 13(1), 21. https://doi.org/10.1186/s40708-026-00303-3

The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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