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 Empirical Study on Categorized Deep Learning Frameworks for Segmentation of Brain Tumor Subject The topic of the resource Brain tumor; Cascaded; CNN; Deep learning; Fusion; MRI Description An account of the resource In the medical image segmentation field, automation is a vital step toward illness detection and thus prevention. Once the segmentation is completed, brain tumors are easily detectable. Automated segmentation of brain tumor is an important research field for assisting radiologists in effectively diagnosing brain tumors. Many deep learning techniques like convolutional neural networks, deep belief networks, and others have been proposed for the automated brain tumor segmentation. The latest deep learning models are discussed in this study based on their performance, dice score, accuracy, sensitivity, and specificity. It also emphasizes the uniqueness of each model, as well as its benefits and drawbacks. This review also looks at some of the most prevalent concerns about utilizing this sort of classifier, as well as some of the most notable changes in regularly used MRI modalities for brain tumor diagnosis. Furthermore, this research establishes limitations, remedies, and future trends or offers up advanced challenges for researchers to produce an efficient system with clinically acceptable accuracy that aids radiologists in determining the prognosis of brain tumors. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sille R.; Choudhury T.; Chauhan P.; Mehdi H.F.; Sharma D. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-606, pp. 531-539. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-8563-8_51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-8563-8_51</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152529191&amp;doi=10.1007%2F978-981-19-8563-8_51&amp;partnerID=40&amp;md5=e79b1cf61a31069556e4350aa5d1f54d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152529191&amp;doi=10.1007%2f978-981-19-8563-8_51&amp;partnerID=40&amp;md5=e79b1cf61a31069556e4350aa5d1f54d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981198562-1 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 Sille R., Systemics Cluster, University of Petroleum and Energy Studies (UPES), Uttarakhand, Dehradun, 248007, India; Choudhury T., Informatics Cluster, University of Petroleum and Energy Studies (UPES), Uttarakhand, Dehradun, 248007, India; Chauhan P., Informatics Cluster, University of Petroleum and Energy Studies (UPES), Uttarakhand, Dehradun, 248007, India; Mehdi H.F., Department of Computer and Software Engineering, University of Diyala, Baquba, Iraq; Sharma D., School of Business and Management, Christ University, Delhi NCR Campus, Mariam Nagar, Meerut Road, Delhi NCR, Ghaziabad, 201003, India