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 Performance Analysis of Several CNN Based Models for Brain MRI in Tumor Classification Subject The topic of the resource brain tumor; classification; Deep learning; MRI Description An account of the resource Classification is one of the primary tasks in data mining and machine learning which is used for categorizing data into classes. In this paper, brain MRI images are used for classification of tumors into three categories namely, Meningioma, Glioma, and Pituitary Tumor. These methodologies used are spatial based, depth based, feature map based and depth based CNN showcasing the power of deep learning in automating the tumor detection process. To evaluate the performance of several deep learning models, data is divided into training and testing data where a generalization method is used for comparison. The experimental results demonstrate promising accuracy, showing that a few techniques are valuable tools for radiologists and physicians, along with further analysis. The best accuracy obtained is 96% using MobileNet and ResNet50 in comparison to other CNN methodologies used in this paper. 2024 IEEE. Creator An entity primarily responsible for making the resource Wahlang I.; Pohrmen F.H. Source A related resource from which the described resource is derived 2024 IEEE 8th International Conference on Signal and Image Processing Applications, ICSIPA 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSIPA62061.2024.10685883" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSIPA62061.2024.10685883</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206480084&amp;doi=10.1109%2FICSIPA62061.2024.10685883&amp;partnerID=40&amp;md5=bea5a484da2dd58d7f6a394b7b97b344" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206480084&amp;doi=10.1109%2fICSIPA62061.2024.10685883&amp;partnerID=40&amp;md5=bea5a484da2dd58d7f6a394b7b97b344</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035236-8 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 Wahlang I., Ghani Khan Choudhury Institute of Engineering and Technology, Department of Computer Science and Engineering, Malda, India; Pohrmen F.H., Christ University, Department of Computer Science, Bangalore, India