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Towards trustworthy brain stroke diagnosis using a lightweight explainable deep learning framework for CT imaging.

Overview

Authors: Md. Romzan Alom1, Muhammad Aminur Rahaman1, Md. Parvez Hossain2, Chayan Mondal3, Md. Nazmus Shakib2, Md. Ahsan Habib1, Md. Kamrul Hasan4, A. B. M. Shawkat Ali1
  1. Department of CSE, Bangladesh University of Business and Technology (BUBT),Rupnagar, Mirpur-2, 1216 Dhaka, Bangladesh
  2. Department of CSE, Green University of Bangladesh (GUB),Purbachal American City, Kanchon, 1460 Dhaka, Bangladesh
  3. Department of EEE, Gopalgonj Science and Technology University (GSTU),8105 Gopalganj, Bangladesh
  4. Department of EEE, Khulna University of Engineering & Technology (KUET),9203 Khulna, Bangladesh
Institutions: Bangladesh University of Business and Technology (Bangladesh); Green University of Bangladesh (Bangladesh); Gopalganj Science and Technology University (Bangladesh); Khulna University of Engineering and Technology (Bangladesh)
Journal: Scientific reports, volume 16, issue 1, article 27905
Dates: received 11 March 2026; accepted 27 May 2026; published online 18 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-55903-0 · PMID 42315868 · PMCID PMC13547240 · OpenAlex W7165191821
Open access: gold, a free copy (OpenAlex)
Status: dead link
Categories: other (modality), human (organism), stroke (population), clinical / translational (subfield)
Methods: Connectivity, Statistics, Machine learning
Keywords: Deep neural brain stroke detection, Deep learning, Convolutional neural networks, Computed tomography imaging, Clinical decision support system, Medical imaging, Explainable AI, Computational biology and bioinformatics, Health care, Mathematics and computing, Medical research, Neurology, Neuroscience
MeSH: Brain*, Deep Learning*, Stroke*, Tomography, X-Ray Computed*, Convolutional Neural Networks, Humans (* major topic)
Topic: Acute Ischemic Stroke Management (Epidemiology, Medicine), according to OpenAlex
Funding: Curtin University of Technology; Division of Mathematical Sciences
Citations: not cited yet (Europe PMC); 59 references in the paper

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.

romzanalom/Explainable_AI_Deep_Neural_Brain_Stroke_Detection_DNBSD

License: none: the authors keep all their rights
State: the link is dead, verified on 27 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link is dead
  • 27 September 2026: the link is dead
At the source: github.com/romzanalom/Explainable_AI_Deep_Neural_Brain_Stroke_Detection_DNBSD

Code availability statement

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

Read it in the paper: doi.org/10.1038/s41598-026-55903-0.

Tracing map

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  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • 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

Data availability statement

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

Read it in the paper: doi.org/10.1038/s41598-026-55903-0.

Versions

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Version 2, 28 September 2026

  • Funding: added Curtin University of Technology; Division of Mathematical Sciences

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 13 keywords, 6 MeSH terms, 48 references.

Cite

This paper

Alom, M. R., Rahaman, M. A., Hossain, M. P., Mondal, C., Shakib, M. N., Habib, M. A., Hasan, M. K., & Ali, A. B. M. S. (2026). Towards trustworthy brain stroke diagnosis using a lightweight explainable deep learning framework for CT imaging. Scientific reports, 16(1), 27905. https://doi.org/10.1038/s41598-026-55903-0

BibTeX

@article{alom2026towards,
author = {Alom, Md. Romzan and Rahaman, Muhammad Aminur and Hossain, Md. Parvez and Mondal, Chayan and Shakib, Md. Nazmus and Habib, Md. Ahsan and Hasan, Md. Kamrul and Ali, A. B. M. Shawkat},
title = {{Towards trustworthy brain stroke diagnosis using a lightweight explainable deep learning framework for CT imaging}},
journal = {Scientific reports},
year = {2026},
month = jun,
volume = {16},
number = {1},
pages = {27905},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-55903-0},
url = {https://doi.org/10.1038/s41598-026-55903-0},
pmid = {42315868},
pmcid = {PMC13547240}
}

RIS

TY - JOUR
AU - Alom, Md. Romzan
AU - Rahaman, Muhammad Aminur
AU - Hossain, Md. Parvez
AU - Mondal, Chayan
AU - Shakib, Md. Nazmus
AU - Habib, Md. Ahsan
AU - Hasan, Md. Kamrul
AU - Ali, A. B. M. Shawkat
TI - Towards trustworthy brain stroke diagnosis using a lightweight explainable deep learning framework for CT imaging
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/06/18
VL - 16
IS - 1
SP - 27905
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-55903-0
UR - https://doi.org/10.1038/s41598-026-55903-0
LA - en
ER -

CSL-JSON

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

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