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 Computer Assisted Unsupervised Extraction and Validation Technique for Brain Images from MRI Subject The topic of the resource Brain anomalies; Brain extraction; Contrast limited; average filtering; Pixel intensity Description An account of the resource Magnetic Resonance Imaging (MRI) of human is a developing field in medical research because it assists in considering the brain anomalies. To identify and analyze brain anomalies, the research requires brain extraction. Brain extraction is a significant clinical image handling method for quick conclusion with clinical perception for quantitative assessment. Automated methods of extracting brain from MRI are challenging, due to the connected pixel intensity information for various regions such as skull, sub head and neck tissues. This paper presents a fully automated extraction of brain area from MRI. The steps involved in developing the method to extract brain area, includes image contrast limited using histogram, background suppression using average filtering, pixel region growing method by finding pixel intensity similarity and filling discontinuity inside brain region. Twenty volumes of brain slices are utilized in this research method. The outcome is achieved by this method is approved by comparing with manually extracted slices. The test results confirm the performance of this strategy can effectively section brain from MRI. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Vijayalakshmi S.; Genish T.; Gayathri S.P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-462, pp. 365-372. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-19-2211-4_32" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_32</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135062131&amp;doi=10.1007%2F978-981-19-2211-4_32&amp;partnerID=40&amp;md5=b1273dd6d7b395a33955223cde21517a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135062131&amp;doi=10.1007%2f978-981-19-2211-4_32&amp;partnerID=40&amp;md5=b1273dd6d7b395a33955223cde21517a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981192210-7 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 Vijayalakshmi S., Department of Data Science, ChristDeemed to be University, Pune, India; Genish T., School of Computing Science, KPR College of Arts Science and Research, Coimbatore, India; Gayathri S.P., Department of Computer Science and Applications, The Gandhigram Rural InstituteDeemed to be University, Gandhigram, India