Detection and Stagewise Classification of Alzheimer Disease Using Deep Learning Methods
B.R. Pushpa1, P.S. Amal2, Nayana. P. Kamal3
1B.R. Pushpa, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham Mysuru (Karnataka), India.
2P.S. Amal, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham Mysuru (Karnataka), India.
3Nayana. P. Kamal, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham Mysuru (Karnataka), India.
Manuscript received on 23 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 08 May 2019 | PP: 206-212 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11390275S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Alzheimer disease is a neuro degenerative disease that affects memory, thinking and cognitive behavior. It is one of the leading disease all over the world. AD leads to death of neurons in various brain regions like hippocampus, enlarged ventricles, entorhinal cortex, temporal and parietal lobes. Currently there is no medicine that can cure the disease but it can slower or stops neural damage. The diagnosis of AD involves heterogeneous clinical assessment such as patient medical history, neuropsychological test, family history, blood test etc. are conducted. Diagnosis of AD is important and challenging, with the early prediction of AD the treatment can be efficiently introduced in the early stages. The proposed work begins noise removal of MRI brain images which includes denoising using Median filtering and Dn CNN. Further brain tissue are segmented based on voxel based that is white matter and grey matter and cerebrospinal fluid and region based segmentation and finally a deep convolutional neural network for classifying the different phases of AD.
Keywords: Alzheimer’s Disease (AD), Deep Leaning, MRI Images.
Scope of the Article: Deep Learning