Emergence of Transfer Learning towards Specific Identification of Alzheimer's Disease A Prospective Approach

[2608.14731] Emergence of Transfer Learning towards Specific Identification of Alzheimer's Disease A Prospective Approach Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Computer Vision and Pattern Recognition arXiv:2608.14731 (cs) [Submitted on 13 Aug 2026] Title: Emergence of Transfer Learning towards Specific Identification of Alzheimer's Disease A Prospective Approach Authors: Soumik Podder , Chandramouli Haldar View a PDF of the paper titled Emergence of Transfer Learning towards Specific Identification of Alzheimer's Disease A Prospective Approach, by Soumik Podder and 1 other authors View PDF Abstract: Worldwide, millions of senior citizens are suffering from Alzheimer disease abbreviated as AD, a well- versed form of dementia. AD is featured by amnesia, intellectual disability, and difficulty with consciousness. DL and ML models are undoubtedly explored to identify AD related patterns on large dimensional neuroimaging data but they need global optimization and are suffering from overfitting issue that might yield dissatisfactory result in testing data set. DL overcomes the issue by convolution of input image with kernel but any sudden change in the MRI image or human manipulation, limited pre- processing of the images can mislead CNN in achieving highly accurate detection. Transfer Learning (TL) has proved itself in AD diagnosis by utilizing pre-trained models on large data sets to guide novice model in a new neuroimaging dataset. This review provides an inclusive glimpse of TL implication in classification, identification including the conversion of AD. Keeping in view, we have assessed the strengths and limitations of TL in improvising diagnostic accuracy even with limited data. The uniqueness of the present review is the incorporation of explainable AI in TL based AD diagnosis system. Finally, it can be claimed that the review will guide the new re-searchers in the area of TL induced neurodegenerative disease detection. Subjects: Computer Vision and Pattern Recognition (cs.CV) ; Digital Libraries (cs.DL) Cite as: arXiv:2608.14731 [cs.CV] (or arXiv:2608.14731v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2608.14731 Focus to learn more arXiv-issued DOI via DataCite Journal reference: 2025 AI-Driven Smart Healthcare for Society 5.0, Kolkata, India, 2025 Related DOI : https://doi.org/10.1109/IEEECONF64992.2025.10962879 Focus to learn more DOI(s) linking to related resources Submission history From: Chandramouli Haldar [ view email ] [v1] Thu, 13 Aug 2026 02:01:51 UTC (499 KB) Full-text links: Access Paper: View a PDF of the paper titled Emergence of Transfer Learning towards Specific Identification of Alzheimer's Disease A Prospective Approach, by Soumik Podder and 1 other authors View PDF view license Current browse context: cs.CV < prev | next > new | recent | 2026-08 Change to browse by: cs cs.DL References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... 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