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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.
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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  Data: <searchLink fieldCode="AU" term="%22Pant+K%22">Pant K</searchLink>; Department of Computer Science and Engineering, Bipin Tripathi Kumaon Institute of Technology, Dwarahat, Uttarakhand, India.<br /><searchLink fieldCode="AU" term="%22Dutta+Pramanik+PK%22">Dutta Pramanik PK</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ganie+SM%22">Ganie SM</searchLink>; Department of Health Information Management and Technology, College of Applied Medical Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Saha+A%22">Saha A</searchLink>; Department of Computer Science and Engineering, Bipin Tripathi Kumaon Institute of Technology, Dwarahat, Uttarakhand, India.<br /><searchLink fieldCode="AU" term="%22Zhao+Z%22">Zhao Z</searchLink>; Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101560621 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-8021 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216648021%22">16648021 </searchLink><i>NLM ISO Abbreviation: </i>Front Genet <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fgene.2026.1814786
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        Text: English
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            – D: 09
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              Text: 2026 Jul 09
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