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 Articles Article Faculty Publications -Articles 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 Improvement of Automatic Glioma Brain Tumor Detection Using Deep Convolutional Neural Networks Subject The topic of the resource convolutional neurol networks; deep learning; higher grade gliomas; image segmentation; lower grade gliomas; voxel Description An account of the resource This article introduces automatic brain tumor detection from a magnetic resonance image (MRI). It provides novel algorithms for extracting patches and segmentation trained with Convolutional Neural Network (CNN)'s to identify brain tumors. Further, this study provides deep learning and image segmentation with CNN algorithms. This contribution proposed two similar segmentation algorithms: one for the Higher Grade Gliomas (HGG) and the other for the Lower Grade Gliomas (LGG) for the brain tumor patients. The proposed algorithms (Intensity normalization, Patch extraction, Selecting the best patch, segmentation of HGG, and Segmentation of LGG) identify the gliomas and detect the stage of the tumor as per taking the MRI as input and segmented tumor from the MRIs and elaborated the four algorithms to detect HGG, and segmentation to detect the LGG works with CNN. The segmentation algorithm is compared with different existing algorithms and performs the automatic identification reasonably with high accuracy as per epochs generated with accuracy and loss curves. This article also described how transfer learning has helped extract the image and resolution of the image and increase the segmentation accuracy in the case of LGG patients. Copyright 2022, Mary Ann Liebert, Inc., publishers 2022. Creator An entity primarily responsible for making the resource Altameem A.; Mallikarjuna B.; Saudagar A.K.J.; Sharma M.; Poonia R.C. Source A related resource from which the described resource is derived Journal of Computational Biology, Vol-29, No. 6, pp. 530-544. Publisher An entity responsible for making the resource available Mary Ann Liebert Inc. 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/10.1089/cmb.2021.0280" target="_blank" rel="noreferrer noopener">https://doi.org/10.1089/cmb.2021.0280</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131665529&amp;doi=10.1089%2Fcmb.2021.0280&amp;partnerID=40&amp;md5=86242a97b59a579c63394dfb7f07852c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131665529&amp;doi=10.1089%2fcmb.2021.0280&amp;partnerID=40&amp;md5=86242a97b59a579c63394dfb7f07852c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10665277; PubMed ID: 35235381; CODEN: JCOBE 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, Saudi Arabia; Mallikarjuna B., School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia; Sharma M., School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India