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 Classification of fibroid using novel fully connected CNN with back propagation classifier (NFCCNNBP) Description An account of the resource In this phase, we utilize features extracted from a prior stage to classify uterine fibroids. We employ a predefined dataset with feature values as our training set for a novel classifier called the "Novel Fully Connected CNN with Back Propagation Classifier."This classifier learns from the training set. We then put this method to the test with new images not included in the training dataset. Its primary objective is to assess the extent of infection across the entire uterine surface. Through the adoption of a Convolutional Neural Network (CNN) combined with Back Propagation (BP), we have achieved an impressive accuracy rate of 98.3% for predictions. When we compare this accuracy to existing classifiers like Fuzzy Logic, Naive Bayes, and SVM, our proposed model, NFCCNNBP, outperforms them significantly. 2024 Author(s). Creator An entity primarily responsible for making the resource Devi M.R.; Sivakumar V.; Sindhu V.; Nataraj C.; Kanna R.R.; Karthikeswaran D. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-3161, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics 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/10.1063/5.0229501" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0229501</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203995853&amp;doi=10.1063%2F5.0229501&amp;partnerID=40&amp;md5=c3b806d92b5d574bc14e228d2a7ec245" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203995853&amp;doi=10.1063%2f5.0229501&amp;partnerID=40&amp;md5=c3b806d92b5d574bc14e228d2a7ec245</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X 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 Devi M.R., School of Information Science, Presidency University, Bangalore, India; Sivakumar V., School of Computing, Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Sindhu V., Department of Computer Science, CHRIST University, Bangalore, India; Nataraj C., School of Computing, Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Kanna R.R., Department of Computer Science, CHRIST University, Bangalore, India; Karthikeswaran D., Department of Information Technology, Nehru Institute of Technology, Coimbatore, India