Global-local feature fusion: a robust hybrid deep learning model for multiclass brain tumor classification with Grad-CAM++ interpretation.
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| Title: | Global-local feature fusion: a robust hybrid deep learning model for multiclass brain tumor classification with Grad-CAM++ interpretation. |
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| Authors: | Pant K; Department of Computer Science and Engineering, Bipin Tripathi Kumaon Institute of Technology, Dwarahat, Uttarakhand, India., Dutta Pramanik PK; School of Computer Applications and Technology, Galgotias University, Greater Noida, Uttar Pradesh, India.; Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States., Ganie SM; Department of Health Information Management and Technology, College of Applied Medical Sciences, King Faisal University, Al-Ahsa, Saudi Arabia., Saha A; Department of Computer Science and Engineering, Bipin Tripathi Kumaon Institute of Technology, Dwarahat, Uttarakhand, India., Zhao Z; Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States. |
| Source: | Frontiers in genetics [Front Genet] 2026 Jul 09; Vol. 17, pp. 1814786. Date of Electronic Publication: 2026 Jul 09 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-8021 |
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| DOI: | 10.3389/fgene.2026.1814786 |
