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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Automated neurological brain disease detection in magnetic resonance imaging using deep learning approaches Description An account of the resource A neurological type of brain disease called multiple sclerosis (MS) impairs how well the nervous system is able to function efficiently and causes people to experience visual, sensory, and problems with movement. Multiple methods of detection have been proposed so far for diagnosing MS; among them, magnetic resonance imaging (MRI) has drawn a lot of interest from healthcare providers. The ability to quickly diagnose lesions related to MS depends on a fundamental understanding of the anatomy and workings of the brain that MRI technology provides doctors. Using an MRI for diagnosing MS is tedious, time-consuming, and prone to human error. In the present investigation, lesion activity involves preprocessing and segmentation of the MS images from two time points using deep learning approaches. 2024 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Thilagavathi S.; Sridhar D.; Jawahar S. Source A related resource from which the described resource is derived Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases, pp. 150-178. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-1281-0.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-1281-0.ch008</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190858680&amp;doi=10.4018%2F979-8-3693-1281-0.ch008&amp;partnerID=40&amp;md5=c3a1adc6976ad800bc6428fc3b776eb0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190858680&amp;doi=10.4018%2f979-8-3693-1281-0.ch008&amp;partnerID=40&amp;md5=c3a1adc6976ad800bc6428fc3b776eb0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836931282-7; 979-836931281-0 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thilagavathi S., Department of Computer Science, Sri Krishna Adithya College of Arts and Science, Coimbatore, India; Sridhar D., School of Computer Science, Dr. Vishwanath Karad MIT World Peace University, Pune, India; Jawahar S., School of Sciences, CHRIST Deemed to be University, Ghaziabad, India