MemAF-KTCBM: a Memory-Aware Fractional optimisation-enabled deep learning model for atherosclerosis classification.
| Publicado en: | Frontiers in Medical Technology pp. 1 - 33 |
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| Autores principales: | , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Frontiers Media S.A.
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196857107&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196857107 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 26733129 N37Y jtl: Frontiers in Medical Technology issn: 26733129 maglogo: N pubinfo: dt: 2026 pid: 40038 pub: Frontiers Media S.A. artinfo: ui: 196857107 196857107 196857107 10.3389/fmedt.2026.1901028 196857107 ppf: 1 ppct: 32 formats: tig: atl: MemAF-KTCBM: a Memory-Aware Fractional optimisation-enabled deep learning model for atherosclerosis classification. aug: au: Pravalika, Nazarkar A., Jabeena Rajamani, Vetriveeran affil: School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India sug: subj: Coronary Arteriosclerosis Classification Coronary Angiography Image Processing, Computer Assisted Detection Algorithms Evaluation Reliability Human Conceptual Framework Validity Precision Data Analysis Software Predictive Validity Sensitivity and Specificity pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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