Integrating convolutional neural networks with ensemble methods for enhanced diabetes diagnosis: a multi-dataset evaluation.
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| Title: | Integrating convolutional neural networks with ensemble methods for enhanced diabetes diagnosis: a multi-dataset evaluation. |
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| Authors: | Zhuang K; Department of Materials, University of Manchester, Manchester, United Kingdom.; Department of Oncology, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, China., Zhang C; The Business School at CU Denver, Public University in Denver, Denver, CO, United States., Chen Z; Suzhou Medical College, Cancer Institute, Soochow University, Suzhou, China., She T; Department of Medical Imaging Function, Xi'an Electric Power Central Hospital, Xi'an, China., Wang M; Department of Oncology, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2025 Sep 30; Vol. 12, pp. 1657889. Date of Electronic Publication: 2025 Sep 30 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2025.1657889 |
