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 Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation Subject The topic of the resource Brain tumor detection; Deep learning; Ensemble; Fast marching; Segmentation Description An account of the resource A brain tumor is an unusual and excessive growth of brain cells, which can be cancerous (malignant) or noncancerous (benign). These growths can be risky as they press on healthy brain tissue or expand in the brain. Detecting brain tumors early is tough for radiologists. A typical brain tumor can double in size in just 25days, and without the right treatment, patients often have limited chances of survival, about six months. Initial symptoms can be confused with other illnesses, and brain cancer is difficult to diagnose because of the complex nature of the brain and tumor locations. In this study, we propose a strategy where we first sort medical images based on the presence of a brain tumor. Then, we pinpoint the part of the image containing the tumor through segmentation. We use a combined model of MobileNet-V3 and EfficientNetV2 for image classification. To segment the tumor in the image, we use a fast marching method. The combined model's classification accuracy is 98%, and the segmentation accuracy is 99.6%. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Joshey A.; Thiruthuvanathan M.M.; Aarushi Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 151-164. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-0975-5_13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_13</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197280326&amp;doi=10.1007%2F978-981-97-0975-5_13&amp;partnerID=40&amp;md5=209cd10c0f7ad8feeac1b727240568f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197280326&amp;doi=10.1007%2f978-981-97-0975-5_13&amp;partnerID=40&amp;md5=209cd10c0f7ad8feeac1b727240568f9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981970974-8 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 Joshey A., Christ (Deemed to be University), Karnataka, Bangalore, India; Thiruthuvanathan M.M., Christ (Deemed to be University), Karnataka, Bangalore, India; Aarushi, Christ (Deemed to be University), Karnataka, Bangalore, India