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Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers

Ghada Atteia, Nabeel Ahmed Khan, Raed Alharthi, Abeer Aljohani, Shtwai Alsubai, Muhammad Umer, Cheng Cheng Orcid Logo

International Journal of Computational Intelligence Systems, Volume: 19, Issue: 1

Swansea University Author: Cheng Cheng Orcid Logo

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DOI (Published version): 10.1007/s44196-026-01281-4

Published in: International Journal of Computational Intelligence Systems
ISSN: 1875-6883
Published: Springer Science and Business Media LLC 2026
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URI: https://cronfa.swan.ac.uk/Record/cronfa71935
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spelling 2026-05-18T12:17:34.9485551 v2 71935 2026-05-18 Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2026-05-18 MACS Journal Article International Journal of Computational Intelligence Systems 19 1 Springer Science and Business Media LLC 1875-6883 Brain tumor classification; MRI imaging; Convolutional neural networks; Enhanced gabor filters; Laplacian of gaussian; Deep learning; Medical image analysis; Interpretability; Grad-CAM; Feature extraction 7 5 2026 2026-05-07 10.1007/s44196-026-01281-4 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) Authors are funded by UKRI Grant EP/W020408/1. Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2026R748), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. 2026-05-18T12:17:34.9485551 2026-05-18T11:55:40.9577440 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ghada Atteia 1 Nabeel Ahmed Khan 2 Raed Alharthi 3 Abeer Aljohani 4 Shtwai Alsubai 5 Muhammad Umer 6 Cheng Cheng 0000-0003-0371-9646 7 71935__36777__0e4c183196434f41bfe16fdf167c91ec.pdf 71935.VoR.pdf 2026-05-18T12:14:00.5769504 Output 6258041 application/pdf Version of Record true © The Author(s) 2026. This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers
spellingShingle Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers
Cheng Cheng
title_short Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers
title_full Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers
title_fullStr Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers
title_full_unstemmed Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers
title_sort Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers
author_id_str_mv 11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv 11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author Cheng Cheng
author2 Ghada Atteia
Nabeel Ahmed Khan
Raed Alharthi
Abeer Aljohani
Shtwai Alsubai
Muhammad Umer
Cheng Cheng
format Journal article
container_title International Journal of Computational Intelligence Systems
container_volume 19
container_issue 1
publishDate 2026
institution Swansea University
issn 1875-6883
doi_str_mv 10.1007/s44196-026-01281-4
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2026-05-07T12:58:15Z
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score 11.106347

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