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 Detection and Classification Using a Hyperparameter Tuned Convolutional Neural Network Subject The topic of the resource Brain Tumor detection; Convolutional neural network; Data pre-processing; MRI scans; Prediction Description An account of the resource Brain tumor detection using MRI scans when integrated with a deep learning approach can be immensely applied in identifying the tumor at early stages, with minimum medical professional aid. This research paper aims to develop an advanced predictive model that accurately classify brain tumors as benign or malignant using MRI scans. Here, a novel convolutional neural network (CNN) model is proposed to automate tumor detection and improve diagnosis accuracy. The model used a dataset of around 7000 brain cancer data classified into 4 labels which include glioma, meningioma, pituitary, and no tumor. Data wrangling and pre-processing are then applied to unify the images into a single format and remove any inconsistencies. Further the records are segregated into train and test samples with a 70-30 split. The proposed model recorded an optimum accuracy of 94.82%, precision of 94.2%, recall value of 93.7% and f-score metric of 93.9% respectively. In conclusion, the paper concluded that the proposed model can be applied to enhance the precision of both brain tumor diagnosis and prognosis. 2023 IEEE. Creator An entity primarily responsible for making the resource Banerjee A.; Jaiswal K.; Biswas T.; Sharma V.; Bal M.; Mishra S. Source A related resource from which the described resource is derived Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 502-506. 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/IC3I59117.2023.10397907" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3I59117.2023.10397907</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185227792&amp;doi=10.1109%2FIC3I59117.2023.10397907&amp;partnerID=40&amp;md5=308d6d32d079545f6d242151b637f285" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185227792&amp;doi=10.1109%2fIC3I59117.2023.10397907&amp;partnerID=40&amp;md5=308d6d32d079545f6d242151b637f285</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030448-0 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 Banerjee A., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Jaiswal K., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Biswas T., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Sharma V., CHRIST (Deemed to Be University, Computer Science Department, Delhi NCR, India; Bal M., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, India