Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Classification and analysis of Alzheimer's Disease using Deep Learning methods on MRI and PET Subject The topic of the resource Alzheimer's Disease; Convolutional Neural Networks; Deep Learning; MRI; PET; ResNet50 Description An account of the resource Alzheimer's disease (AD) falls in the category of neurodegenerative illness in which an individual loses his or her power to remember things and behaviors. It affects memory in younger patients and as it progresses causes diffuse cortical functions. However, a major issue with the diagnosis and treatment of AD symptoms is that it has complex pathogenesis because of which there is no clinical intervention for its treatment. There is no disease-modifying treatment to cure AD symptoms that increases co-morbidities among the patients. The present research identified this gap and focuses on using Deep Learning methods on MRI and PET data so that there is early diagnosis of AD by healthcare experts and they could propose a better treatment process for reducing AD symptoms. The present research identified that by using deep learning-based approaches particularly ResNet50 architecture, there is the execution of quantitative assessment of brain MRI and PET to acquire insights about the internal abnormalities through self-learning features. It will help in initiating proper treatment and avoiding damage to the brain further. 2022 IEEE. Creator An entity primarily responsible for making the resource Antony F.; Anita H B. Source A related resource from which the described resource is derived 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IMPACT55510.2022.10029052" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IMPACT55510.2022.10029052</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148039392&amp;doi=10.1109%2FIMPACT55510.2022.10029052&amp;partnerID=40&amp;md5=661b8994ee4574dae41837aa6a6f1590" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148039392&amp;doi=10.1109%2fIMPACT55510.2022.10029052&amp;partnerID=40&amp;md5=661b8994ee4574dae41837aa6a6f1590</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547647-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Antony F., Deemed to Be University, Department of Computer Science Christ, Bangalore, India; Anita H B., Deemed to Be University, Department of Computer Science Christ, Bangalore, India