Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Convolutional Neural Network based Alzheimer Disease Prediction in MRI Images - 2022

convolutional-neural-network-based-alzheimers-disease-prediction-in-mri-images.jpg

Convolutional Neural Network based Alzheimer Disease Prediction in MRI Images | S-Logix

Research Area:  Machine Learning

Abstract:

The neurologic illness that leads the brain to shrink (atrophy)and cells of brain to pass away is known as Alzheimer disease. Dementia is described as a gradual deterioration of cognitive, behavioral, and social abilities that hinders the ability of a person to function alone. Alzheimer illness is the very frequent type of dementia. An improper build-up of proteins in and around brain cells is thought to be the beginning of Alzheimer disease. Among them the proteins implicated is amyloid, which forms plaques surrounding brain cells. Tau is the other protein that causes tangles and deposits in brain cells. The protein deposits present in the brain are yet considered to be part of the most visible indicators of Alzheimer disease. Another symptom is the brain breakdown of connections present among the neurons. Neurons communicate between different sections of the brain. Further areas of reasoning, like detecting proper of the terms, foresight/contiguous difficulties, faulty thinking or judgement, could in addition indicate primary periods of Alzheimer illness. In deep learning, there are different techniques for image processing, where each technique has different accuracy.

Keywords:  
Proteins
Deep learning
Electric breakdown
Magnetic resonance imaging
Image processing
Neurons
Brain cells

Author(s) Name:  K. Muthamil Sudar; P. Nagaraj; HarshaVardhan Reddy

Journal name:  

Conferrence name:  2022 International Conference on Sustainable Computing and Data Communication Systems

Publisher name:  IEEE

DOI:  10.1109/ICSCDS53736.2022.9760792

Volume Information: