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 Artificial Intelligence and Deep Learning Based Brain Tumor Detection Using Image Processing Subject The topic of the resource Artificial Intelligence; Brain Tumor; Convolutional Neural Network; Deep Learning; MRI (Magnetic Resonance Imaging) Scanning; Support Vector Machine Description An account of the resource In the field of medical science, applications that are particularly used for diagnostic purposes, are used in the detection of brain tumors since detecting an error in MRI scanning is becoming a major task for radiologists and requires a lot of their focus. Flaws that are prevalent during tumor detection must be taken care of to avoid further complications. MRI scanning is one of the most recently developing technologies. The radiologist is a key player in the identification of the brain tumor. Radiologists have to check every image perfectly to avoid the errors in identifying the brain tumor. There is a probability that sometimes cerebral fluid may also appear as mass tissue during the MRI scan. The model that is proposed in this research uses a machine learning algorithm which helps to improve the validity of the classification of the images that are taken in MRI scans. The study focuses on having an automated system that carries out an essential role in determining whether a lump is present in the brain or not. The study tries to resolve the primary flaws in detection necessary to evade further complications in MRI images in brain detection. The main aim of this study is to train the algorithm in a more extensive dataset and to check the patient-level validity with the help of various new datasets. 2023 IEEE. Creator An entity primarily responsible for making the resource Rajesh S.M.; Chiranmai I.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023, pp. 244-248. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIRCA57980.2023.10220659" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIRCA57980.2023.10220659</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172182485&amp;doi=10.1109%2FICIRCA57980.2023.10220659&amp;partnerID=40&amp;md5=dffe8b0fde9c34a36994a6eb4d78ac96" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172182485&amp;doi=10.1109%2fICIRCA57980.2023.10220659&amp;partnerID=40&amp;md5=dffe8b0fde9c34a36994a6eb4d78ac96</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032142-5 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 Rajesh S.M., Christ (Deemed to Be University), Department of Cse, India; Chiranmai I., Christ (Deemed to Be University), Department of Cse, India; Jayapandian N., Christ (Deemed to Be University), Department of Cse, India