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 Segmentation technique for medical image processing: A survey Subject The topic of the resource Computer Tomography (CT); Convolutional neural Network (CNN); Deep learning (DL); Machine learning (ML); Magnetic Resonance Imaging (MRI); Positron Emission Tomography (PET) Description An account of the resource Segmentation is one of the popular and efficient technique in context to medical image analysis. The purpose of the segmentation is to clearly extract the Region of Interest from the medical images. The main focus of this paper is to review and summarize an efficient segmentation method. While doing the comparison study on segmentation methods using the Support Vector Machine, K-Nearest Neighbors, Random Forest and the Convolutional Neural Network for medical image analysis identifies that Convolutional Neural Network works efficiently for doing in-depth analysis. The Convolutional Neural Network can be used as segmentation technique for achieving the high accuracy on medical image analysis. 2017 IEEE. Creator An entity primarily responsible for making the resource Merjulah R.; Chandra J. Source A related resource from which the described resource is derived Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, pp. 1055-1061. 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 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICI.2017.8365301" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICI.2017.8365301</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048350440&amp;doi=10.1109%2FICICI.2017.8365301&amp;partnerID=40&amp;md5=e89bcca8048381346c04f4793ea30a99" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048350440&amp;doi=10.1109%2fICICI.2017.8365301&amp;partnerID=40&amp;md5=e89bcca8048381346c04f4793ea30a99</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153864031-9 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 Merjulah R., Computer Science, Christ University, Bangalore, India; Chandra J., Computer Science, Christ University, Bangalore, India