Early Detection of Alzheimer's using Deep Learning Technique

Vinod, Bhagya (2023) Early Detection of Alzheimer's using Deep Learning Technique. Masters thesis, Dublin, National College of Ireland.

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Abstract

The neurocognitive changes associated with Alzheimer's disease (AD) are dynamic, that range from normal cognition to mild cognitive impairment (MCI) and ultimately dementia. Early in the course of the disease, an accurate diagnosis of Alzheimer’s disease (AD) is crucial for patient care and will become more so as disease-modifying medications become available. Lately, deep learning algorithms have become the primary tool for medical image processing. These algorithms’ effective learning capabilities and capacity to handle challenging issues with relative ease make them appropriate for resolving these image processing issues. With the exponential growth of medical data over the past few years, deep learning has become increasingly useful in the health domain. This work reviews the primary deep learning models that have gained popularity in the past few years and are relevant to medical image analysis. Convolutional neural networks (CNN) and Transfer Learning with ResNet50 can be utilized for image classification in order to take benefit of the changes in preclinical structure for the early detection of AD. Using a custom CNN that has been carefully designed and the potent feature extraction powers of transfer learning with ResNet50, this paper offers an extensive approach to the detection of Alzheimer's disease. The methods and findings reported here offer new opportunities for the field of medical imaging for the diagnosis of neurodegenerative diseases.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Horn, Christian UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HM Sociology > Information Science > Communication > Medical Informatics
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	26 May 2025 08:45
Last Modified:	26 May 2025 08:45
URI:	https://norma.ncirl.ie/id/eprint/7639

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