A robust machine learning approach for multiclass Alzheimer’s disease detection using 3D brain magnetic resonance images
Joint Authors
Nagarjuna Reddy, G.
Nagireddy, K.
Source
Journal of Engineering Research
Issue
Vol. 10, Issue 2 A (30 Jun. 2022), pp.82-94, 13 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-06-30
Country of Publication
Kuwait
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Alzheimer’s disease (AD), a progressive dementia is the neurodegenerative disorder that worsens memory and mental capabilities mostly in aged people.
Currently, clinical and psychometric assessments are being used to diagnose the disease in patients.
In clinical procedures, 3D Magnetic Resonance Image qualitative parameters are analyzed to identify the abnormality in brain shape, volume, texture, and cortical thickness.
This paper presents a robust approach for categorizing 3D MR images into multiple stages of AD using hybrid features viz., Gray Level Co-occurrence Matrix (GLCM), 3D Scale and rotation Invariant Feature Transform (3D SIFT), HOG-TOP and CLBPSM-TOP.
The proposed algorithm is validated using Open Access Series of Imaging Studies (OASIS) datasets to classify the subjects into AD, Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) categories using various classifiers.
Moreover, this approach is also evaluated and compared with the state of the art techniques.
86.49% diagnosis accuracy is achieved with Ensemble classifier using hybrid features to diagnose the severity of AD.
This approach also outperforms majority of these techniques in key parameters viz., accuracy, precision, recall and F1-score.
American Psychological Association (APA)
Nagarjuna Reddy, G.& Nagireddy, K.. 2022. A robust machine learning approach for multiclass Alzheimer’s disease detection using 3D brain magnetic resonance images. Journal of Engineering Research،Vol. 10, no. 2 A, pp.82-94.
https://search.emarefa.net/detail/BIM-1494610
Modern Language Association (MLA)
Nagarjuna Reddy, G.& Nagireddy, K.. A robust machine learning approach for multiclass Alzheimer’s disease detection using 3D brain magnetic resonance images. Journal of Engineering Research Vol. 10, no. 2 A (Jun. 2022), pp.82-94.
https://search.emarefa.net/detail/BIM-1494610
American Medical Association (AMA)
Nagarjuna Reddy, G.& Nagireddy, K.. A robust machine learning approach for multiclass Alzheimer’s disease detection using 3D brain magnetic resonance images. Journal of Engineering Research. 2022. Vol. 10, no. 2 A, pp.82-94.
https://search.emarefa.net/detail/BIM-1494610
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 93-94
Record ID
BIM-1494610