Novel deep learning for multi-class classification of Alzheimer's in disability using MRI datasets.
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| Title: | Novel deep learning for multi-class classification of Alzheimer's in disability using MRI datasets. |
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| Authors: | Shahid SB; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Kaikaus M; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Kabir MH; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Yousuf MA; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Azad AKM; Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Al-Moisheer AS; Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Alotaibi N; Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Alyami SA; Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Bhuiyan T; School of IT, Washington University of Science and Technology, Alexandria, VA, United States., Moni MA; Artificial Intelligence and Cyber Futures Institute, Charles Stuart University, Bathurst, NSW, Australia.; AI and Digital Health Technology, Rural Health Research Institute, Charles Sturt University, Orange, NSW, Australia.; Health Sciences Research Center (HSRC), Deanship of Scientific Research, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. |
| Source: | Frontiers in bioinformatics [Front Bioinform] 2025 Aug 20; Vol. 5, pp. 1567219. Date of Electronic Publication: 2025 Aug 20 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918227263306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-7647 (Electronic) Linking ISSN: 26737647 NLM ISO Abbreviation: Front Bioinform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2673-7647 |
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| DOI: | 10.3389/fbinf.2025.1567219 |
