MemAF-KTCBM: a Memory-Aware Fractional optimisation-enabled deep learning model for atherosclerosis classification.

Detalles Bibliográficos
Publicado en:Frontiers in Medical Technology pp. 1 - 33
Autores principales: Pravalika, Nazarkar, A., Jabeena, Rajamani, Vetriveeran
Formato: algorithm equations & formulas research tables/charts Journal Article
Publicado: Frontiers Media S.A. 2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2026
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      pub: Frontiers Media S.A.
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        10.3389/fmedt.2026.1901028
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        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
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