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 Pre and Post Operative Brain Tumor Segmentation and Classification for Prolonged Survival Subject The topic of the resource BRATS; CNN; Dense net; EPISURG; Fig-Share; ResNET; TCIA; VGG Description An account of the resource The aim of this research was to provide a detailed overview of the techniques in detecting and segmenting meningioma brain tumor in pre- and post-operative MRI images and classify for presence of meningioma thereby giving an early diagnosis to decrease the death rate. This study examines trending techniques for brain tumour segmentation and classification in Magnetic Resonance (MR) images of pre and post-surgery. For the segmentation and anomalies in the brain categorization, several approaches such as regular machine learning techniques (K-mean bunching, Fuzzy C mean grouping etc.), Deep Learning-based approaches (CNN, ResNET, Dense Net, VGG etc.), classical algorithms (Snake contour, watershed method etc.), and hybridization approaches were applied, according to the analysis. Information base, for example, BRATS, Fig-Share, EPISURG or TCIA can be taken to gather clinical pictures which principally contains of 2 classifications, pre and post pictures of Brain tumor. The multiple processes of brain tumour segmentation methodologies, such as preprocessing, feature extraction, segmentation, and classification, are also explained in this work. The task of segmenting residual and recurrent tumors differs greatly from that of segmenting tumors on baseline scans before surgery. This study shows that each approach has its own set of pros and limitations, as well as notable findings in terms of precision, sensitivity, and specificity, according to the comparison research. The use of segmentation approaches to determine success and reliability has been discovered. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Xavier P.S.; Raju G.; Asawthy S.U. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-417 LNNS, pp. 608-616. 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/10.1007/978-3-030-96302-6_57" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-96302-6_57</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126236124&amp;doi=10.1007%2F978-3-030-96302-6_57&amp;partnerID=40&amp;md5=a70f0c72effd925db9eb82b5008bd511" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126236124&amp;doi=10.1007%2f978-3-030-96302-6_57&amp;partnerID=40&amp;md5=a70f0c72effd925db9eb82b5008bd511</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303096301-9 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 Xavier P.S., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India; Raju G., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India; Asawthy S.U., Department of Computer Science, JYOTHI Engineering College Cheruthuruthy, Cheruthuruthy, India