INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Shashank Nath
, Y. Pratyusha , D. Harshitha , N. Laxmi
Unique Id:
IJSDR2005034
Published In:
Volume 5 Issue 5, May-2020
Abstract:
In recent years, the diagnosis of Alzheimer’s disease (AD) has become one of the most challenging problems in medical fields. This paper proposes a new segmentation method which is used region masking for selecting the useful properties of biological markers in the human brain for improving the accuracy of diagnosis for AD. In the proposed method, features of collected data sets, which can improve the accuracy of classification, are selected by using region masking. Furthermore, the different features are learning for the diagnosis of AD. The data set will be discussed in this paper contains normal and AD subjects. The empirical results show that the proposed method significantly improves the accuracy of the diagnosis of AD in comparison with previous methods.
"Detecting Alzheimers Disease On Small Dataset", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.197 - 202, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005034.pdf
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Publication Details:
Published Paper ID: IJSDR2005034
Registration ID:191736
Published In: Volume 5 Issue 5, May-2020
DOI (Digital Object Identifier):
Page No: 197 - 202
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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