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 Full Reference Image Quality Assessment (FR-IQA) of Pre-processed Structural Magnetic Resonance Images Subject The topic of the resource cnr; dice coefficient; iqa; mri preprocessing; psnr; rmse; ssim Description An account of the resource Deep learning-based Artificial Intelligence algorithms have surpassed human-level performance in many fields including medicine. Specifically in diagnosis using radiology images, deep neural networks empowered AI to excel by educating intricate nonlinear relationships which is a core part of the complicated radiology problems. However, these models require a massive amount of quality data for training. The accuracy of the deep learning model is based on the amount of training data and the quality of the trained data being fed. So, preprocessing the data from different capturing devices is inevitable. This study aimed to highlight some of the image quality metrics that can be used to quantify the efficiency of the chosen preprocessing pipeline. By quantifying the result of each preprocess step, the user can choose an optimal set of preprocesses that can greatly improve the image quality, leading to a high and accurate diagnosis through a deep learning model. Thus, this study detailed how the full reference image quality metrics can be used to validate the performance of sMRI preprocess tasks. 2024 IEEE. Creator An entity primarily responsible for making the resource Swainson Sujana D.; Peter Augustine D.; Sheefa Ruby Grace D. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications 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/InC460750.2024.10649151" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649151</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203786205&amp;doi=10.1109%2FInC460750.2024.10649151&amp;partnerID=40&amp;md5=2330b2b3b13ebe8a729d1e9caf301186" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203786205&amp;doi=10.1109%2fInC460750.2024.10649151&amp;partnerID=40&amp;md5=2330b2b3b13ebe8a729d1e9caf301186</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Swainson Sujana D., Christ Deemed to be University, Department of Computer Science, Bangalore, India; Peter Augustine D., Christ Deemed to be University, Department of Computer Science, Bangalore, India; Sheefa Ruby Grace D., Sarah Tucker College, Department of Computer Science, Tirunelveli, India