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Computer Science > Neural and Evolutionary Computing

arXiv:2401.09795 (cs)
[Submitted on 18 Jan 2024]

Title:A Comparative Analysis on Metaheuristic Algorithms Based Vision Transformer Model for Early Detection of Alzheimer's Disease

Authors:Anuvab Sen, Udayon Sen, Subhabrata Roy
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Abstract:A number of life threatening neuro-degenerative disorders had degraded the quality of life for the older generation in particular. Dementia is one such symptom which may lead to a severe condition called Alzheimer's disease if not detected at an early stage. It has been reported that the progression of such disease from a normal stage is due to the change in several parameters inside the human brain. In this paper, an innovative metaheuristic algorithms based ViT model has been proposed for the identification of dementia at different stage. A sizeable number of test data have been utilized for the validation of the proposed scheme. It has also been demonstrated that our model exhibits superior performance in terms of accuracy, precision, recall as well as F1-score.
Comments: 2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN). arXiv admin note: text overlap with arXiv:2309.16796
Subjects: Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI)
Cite as: arXiv:2401.09795 [cs.NE]
  (or arXiv:2401.09795v1 [cs.NE] for this version)
  https://doi.org/10.48550/arXiv.2401.09795
Related DOI: https://doi.org/10.1109/CICN59264.2023.10402213

Submission history

From: Subhabrata Roy [view email]
[v1] Thu, 18 Jan 2024 08:31:38 UTC (1,818 KB)
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