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 DTDO: Driving Training Development Optimization enabled deep learning approach for brain tumour classification using MRI Subject The topic of the resource A brain tumour; Child Drawing Development Optimization (CDDO); Driving Training Development Optimization (DTDO); Magnetic Resonance Imaging (MRI) Description An account of the resource A brain tumour is an abnormal mass of tissue. Brain tumours vary in size, from tiny to large. Moreover, they display variations in location, shape, and size, which add complexity to their detection. The accurate delineation of tumour regions poses a challenge due to their irregular boundaries. In this research, these issues are overcome by introducing the DTDO-ZFNet for detection of brain tumour. The input Magnetic Resonance Imaging (MRI) image is fed to the pre-processing stage. Tumour areas are segmented by utilizing SegNet in which the factors of SegNet are biased using DTDO. The image augmentation is carried out using eminent techniques, such as geometric transformation and colour space transformation. Here, features such as GIST descriptor, PCA-NGIST, statistical feature and Haralick features, SLBT feature, and CNN features are extricated. Finally, the categorization of the tumour is accomplished based on ZFNet, which is trained by utilizing DTDO. The devised DTDO is a consolidation of DTBO and CDDO. The comparison of proposed DTDO-ZFNet with the existing methods, which results in highest accuracy of 0.944, a positive predictive value (PPV) of 0.936, a true positive rate (TPR) of 0.939, a negative predictive value (NPV) of 0.937, and a minimal false-negative rate (FNR) of 0.061%. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Prasad V.; Jeba Jingle I.D.; Sriramakrishnan G.V. Source A related resource from which the described resource is derived Network: Computation in Neural Systems, Vol-35, No. 4, pp. 520-561. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. 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/10.1080/0954898X.2024.2351159" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/0954898X.2024.2351159</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194533937&doi=10.1080%2F0954898X.2024.2351159&partnerID=40&md5=42d3068daa344ec8fe4ff1050d52af90" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194533937&doi=10.1080%2f0954898X.2024.2351159&partnerID=40&md5=42d3068daa344ec8fe4ff1050d52af90</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0954898X; PubMed ID: 38801074 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 Prasad V., Department of Computer Science & Engineering, Lendi Institute of Engineering & Technology, Jonnada, India; Jeba Jingle I.D., Department of Computer Science & Engineering, Christ (Deemed to be University), Bangalore, India; Sriramakrishnan G.V., Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India