Abstract
Alzheimer’s disease is a neurological condition that gradually reduces brain size and destroys brain neurons. The most common varieties of dementia, Alzheimer’s disease limits a person’s ability to operate independently and is described by a steady deterioration in mental, cognitive and social abilities. Due to the severity of moderate cognitive impairment, AD diagnosis is frequently challenging at an early point. Nevertheless, treatment is likely to be successful at this stage. This raised concerns about the early diagnosis and treatment of AD. Deep learning approaches are used, including fastai and InceptionV3 to identify the most accurate markers for predicting AD.
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Locharla, J., Kolanuvada, H., Ashrith, K.V.S., Suchitra, S. (2023). A Robust Deep Learning Techniques for Alzheimer’s Prediction. In: Tanwar, S., Wierzchon, S.T., Singh, P.K., Ganzha, M., Epiphaniou, G. (eds) Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security. CCCS 2022. Lecture Notes in Networks and Systems, vol 664. Springer, Singapore. https://doi.org/10.1007/978-981-99-1479-1_48
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DOI: https://doi.org/10.1007/978-981-99-1479-1_48
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