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 Detection of Lung Cancer with a Deep Learning Hybrid Classifier Subject The topic of the resource Artificial Intelligence (AI); Computer-Aided Diagnosis (CAD); Convolution Neural Networks (CNN); Deep Learning; Feature Selection; Healthcare Technology; Hybrid Classification; Image Classification; Image Preprocessing; Lung Cancer; Medical Diagnosis; Medical Imaging; Medical Research; SVM Hybrid Classifier; VGG-16 Description An account of the resource This article presents a deep learning framework combining a convolutional neural network (CNN) and a support vector machine (SVM) for lung cancer diagnosis. The model uses data divided into six groups: 250 images in the training set and 150 images in the test set. The work includes preliminary data and development using the Keras image data generator, VGG-16 architecture, high-level rules, and SVM classifier training with labels and vectors. The model achieves 90% accuracy with 85% selection impact and 75% cross-validation flexibility using VGG-16 and SVM hybrid classifier. This study finally revealed the classification of the model by multi-class ROC curve analysis and confusion matrix. 2024 IEEE. Creator An entity primarily responsible for making the resource Kamatagi P.; Jacob L.; Balagangadhar K. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 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/TQCEBT59414.2024.10545082" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545082</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204466153&amp;doi=10.1109%2FTQCEBT59414.2024.10545082&amp;partnerID=40&amp;md5=00b6d65b07f30f99a6cf60a04e8f16f4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204466153&amp;doi=10.1109%2fTQCEBT59414.2024.10545082&amp;partnerID=40&amp;md5=00b6d65b07f30f99a6cf60a04e8f16f4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Kamatagi P., Christ (Deemed to Be University), Department of Data Science, Lavasa, India; Jacob L., Christ (Deemed to Be University), Department of Data Science, Lavasa, India; Balagangadhar K., Christ (Deemed to Be University), Department of Data Science, Lavasa, India