Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Segmentation Using Adaptive Fuzzy Clustering Based Atom Search Optimization of Magnetic Resonance Images for Early Detection of Alzheimer’s Disease

Authors
Nirupama P. Ansingkar1, *, Rita B. Patil1, Rajmohan A. Pardeshi1, Prapti D. Deshmukh2
1Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
2MGM, Dr. G. Y. Pathrikar College of CS and IT, Aurangabad, India
*Corresponding author. Email: nirupatodkar@gmail.com
Corresponding Author
Nirupama P. Ansingkar
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_82How to use a DOI?
Keywords
Alzheimer’s disease; pre-processing; DT; NLMSMJ; MGM dataset; MRI
Abstract

Alzheimer’s Disease is a neurodegenerative condition affecting middle-aged to older peo-ple characterized by marked loss of memory, cerebral damage and helplessness. Early and correct detection can help doctors to plan the medication for the sufferer. As we know this disease is progressive and degenerative, the speed of the disease can slows down by ap-propriate treatment it also helps to protect against brain tissue damage. This work presents the practical methodology, pre-processing and segmentation steps which helps in the early detection of Alzheimer’s disease. The effective pre-processing of an image is done with the help of skull stripping as the first step, then normalized linear smoothing and median joint(NLSMJ) Filtering and segmentation is carried out with Adaptive Fuzzy Based Atom Searched Optimization. The presented technique is used on Local neuro-imaging MRI da-taset collected from MGM hospital.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
10.2991/978-94-6463-136-4_82
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_82How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nirupama P. Ansingkar
AU  - Rita B. Patil
AU  - Rajmohan A. Pardeshi
AU  - Prapti D. Deshmukh
PY  - 2023
DA  - 2023/05/01
TI  - Segmentation Using Adaptive Fuzzy Clustering Based Atom Search Optimization of Magnetic Resonance Images for Early Detection of Alzheimer’s Disease
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 931
EP  - 942
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_82
DO  - 10.2991/978-94-6463-136-4_82
ID  - Ansingkar2023
ER  -