CQ-CNN: A lightweight hybrid classical-quantum convolutional neural network for Alzheimer's disease detection using 3D structural brain MRI.
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| Title: | CQ-CNN: A lightweight hybrid classical-quantum convolutional neural network for Alzheimer's disease detection using 3D structural brain MRI. |
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| Authors: | Islam M; Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh.; Mahdy Research Academy, Dhaka, Bangladesh.; NSU Center of Quantum Computing, Plot, Block B, Bashundhara R/A, Dhaka, Bangladesh., Hasan MJ; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Computational Pathology and AI - Allied Health, Mayo Clinic, Rochester, Minnesota, United States of America.; Mahdy Research Academy, Dhaka, Bangladesh.; NSU Center of Quantum Computing, Plot, Block B, Bashundhara R/A, Dhaka, Bangladesh., Mahdy MRC; Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh.; NSU Center of Quantum Computing, Plot, Block B, Bashundhara R/A, Dhaka, Bangladesh. |
| Source: | PloS one [PLoS One] 2025 Sep 22; Vol. 20 (9), pp. e0331870. Date of Electronic Publication: 2025 Sep 22 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0331870 |
