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 An Investigation on Machine Learning Models in Classification and Identifications Cervical Cancer Using MRI Scan Subject The topic of the resource cervical cancer; classification; machine learning; medical imaging; preprocessing Description An account of the resource This study analyzes the effectiveness of machine learning models in the classification of cervical cancer using a dataset of 900 cancer and 200 non-cancer images gathered from online resources and hospitals. The dataset, covering both CT and MRI images, undergoes rigorous preprocessing, including standardization, normalization, and noise reduction, to enhance its quality for model training. Four machine learning models, namely VGG16, CNN, KNN, and RNN, are recruited to predict cancer and non-cancer cases. During the testing phase, VGG16 emerges as the most accurate, achieving an impressive accuracy of 95.44%, followed by CNN at 92.3%, KNN at 89.99%, and RNN at 86.233%. Performance parameters, such as precision, recall, F1 score, and accuracy, are fully analyzed, providing insights into each model's strengths and capabilities. These discoveries not only contribute to the advancement of cervical cancer diagnostic techniques but also underscore the potential of machine learning in medical imaging. The study emphasizes the relevance of model selection and provides a framework for future research endeavors seeking to enhance the accuracy and performance of cervical cancer diagnosis through the merger of advanced computational techniques with standard diagnostic practices. 2024 IEEE. Creator An entity primarily responsible for making the resource Singh J.; Tan K.T.; Sahu D.; Upreti K.; Kshirsagar P.R.; Elangovan M. Source A related resource from which the described resource is derived International Conference on E-Mobility, Power Control and Smart Systems: Futuristic Technologies for Sustainable Solutions, ICEMPS 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEMPS60684.2024.10559361" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEMPS60684.2024.10559361</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197877456&amp;doi=10.1109%2FICEMPS60684.2024.10559361&amp;partnerID=40&amp;md5=d06f5d1e2ee9593680a53d08b65df83e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197877456&amp;doi=10.1109%2fICEMPS60684.2024.10559361&amp;partnerID=40&amp;md5=d06f5d1e2ee9593680a53d08b65df83e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039439-9 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 Singh J., Singapore Institute of Technology, 10 Dover Drive, Singapore; Tan K.T., Singapore Institute of Technology, 10 Dover Drive, Singapore; Sahu D., School of Computer Science Engineering &amp; Technology, Bennett University, Greater Noida, India; Upreti K., Christ (Deemed To Be University), Department of Computer Science, Ghaziabad, India; Kshirsagar P.R., J D College of Engineering &amp; Management, Deptartment of Electronics &amp; Telecom. Engineering, Nagpur, India; Elangovan M., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Department of Biosciences, Chennai, India