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dc.contributor.authorKapadnis, Manav Nitin
dc.contributor.authorBhattacharyya, Abhijit
dc.contributor.authorSubasi, Abdulhamit
dc.date.accessioned2023-03-13T06:42:22Z
dc.date.available2023-03-13T06:42:22Z
dc.date.issued2023-01-20
dc.identifier.citationManav Nitin Kapadnis, Abhijit Bhattacharyya, Abdulhamit Subasi, Chapter 14 - Artificial intelligence based Alzheimer’s disease detection using deep feature extraction, Editor(s): Abdulhamit Subasi, In Artificial Intelligence Applications in Healthcare&Medicine, Applications of Artificial Intelligence in Medical Imaging, Academic Press, 2023, Pages 333-355, ISBN 9780443184505, https://doi.org/10.1016/B978-0-443-18450-5.00007-4. (https://www.sciencedirect.com/science/article/pii/B9780443184505000074)en_US
dc.identifier.isbn9780443184505en_US
dc.identifier.doihttps://doi.org/10.1016/B978-0-443-18450-5.00007-4en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/590
dc.description.abstractAlzheimer’s disease (AD) is an acute brain disease that affects neural functions and destroys the memories and abilities of human beings. AD causes severe chronic, progressive, and irreversible cognitive declination and brain damage. It is one of the most common forms of dementia that affects the elderly. Early identification of AD is critical for developing new treatment options. Artificial intelligence (AI) is an excellent tool for detecting AD since these methods are used in clinical settings as a computer-aided diagnosis (CAD) system and play an important role in detecting alterations in brain images for AD detection. This chapter discusses the recent methods and developments in medical image analysis and image processing for AD detection using AI. The primary objective of this chapter is the development of easy-to-implement methods that promote early AD detection based on deep feature extraction methods. We developed a deep feature extraction methodology with machine learning approaches to achieve a good performance in AD detection. Furthermore, some of the techniques that were used by previous researchers are reviewed. A discussion on the existing state-of-the-art methods, a review of emerging trends, and future research problems will round up the chapteren_US
dc.publisherAcademic Pressen_US
dc.subjectAlzheimer’s Disease (AD) Diagnosisen_US
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectDeep Feature Extractionen_US
dc.subjectMachine Learningen_US
dc.titleArtificial intelligence based Alzheimer’s disease detection using deep feature extractionen_US
dc.source.booktitleApplications of Artificial Intelligence in Medical Imaging.en_US
dc.source.volumeArtificial Intelligence Applications in Healthcare&Medicine;
dc.source.pages333-355en_US
dc.contributor.researcherExternal Collaborationen_US
dc.contributor.labArtificial Intelligence & Cyber Security Laben_US
dc.subject.KSAHEALTHen_US
dc.source.indexScopusen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.firstauthorKapadnis, Manav Nitin


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