Cad System for the Detection and Classification of Alzheimers From Mr Images Using Deep Learning Techniques

Authors

  • Nithya V. P. Research Scholar, Department of Computer Science and Engineering, Karpagam Academy of Higher Education,Coimbatore, Tamil Nadu, India
  • N. Mohanasundaram Professor, Department of Computer Science and Engineering,Faculty 0f Engineering, Karpagam Academy of Higher Education, Coimbatore,Tamil Nadu, India
  • R. Santhosh Professor, Department of Computer Science and Engineering,Faculty 0f Engineering, Karpagam Academy of Higher Education, Coimbatore,Tamil Nadu, India

Keywords:

CLAHE, BADF, K-means clustering, ResNet 50

Abstract

Alzheimer's disease, also known as Alzheimer's degeneration, is an irreversible brain disorder affecting over 65-year-olds.AD cannot currently be cured, but its progression can be slowed by certain treatments.It is imperative to diagnose AD accurately and early to improve patient care and future treatment options.Many ways evaluate picture features to retrieve handmade characteristics and then design a classifier to differentiate AD from other groups. The Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset is used to propose a new method for categorizing AD and MCI.Preprocessing of brain pictures, including image segmentation, is essential for these methods.To reduce noise and factor fluctuations, the pictures are preprocessed using several complex methods.The preprocessed images are then used to segment the images.This study presents a novel classification algorithm based on deep learning and ResNet 50, inspired by deep learning's success in image analysis.The suggested classifier approach allows the selection of relevant characteristics while avoiding overfitting issues.When the proposed algorithm was compared to the existing models, the results proved that it had better accuracy values.

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Neurons in the brain display microscopic plaques and tangles in Alzheimer's illness

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Published

19.12.2022

How to Cite

Nithya V. P., N. Mohanasundaram, & R. Santhosh. (2022). Cad System for the Detection and Classification of Alzheimers From Mr Images Using Deep Learning Techniques. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 96–104. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2368

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

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