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 and Robust Classification of Lung Cancer Disease Using Hybrid Deep Learning Approach Subject The topic of the resource computer-aided detection; hybrid deep learning; Lung cancer; memory efficient Description An account of the resource Effective lung cancer diagnosis and treatment hinge on the early detection of lung nodules. Various techniques, such as thresholding, pattern recognition, computer-aided diagnostics, and backpropagation calculations, have been explored by scientists. Convolutional neural networks (CNNs) have emerged as powerful tools in recent times, revolutionizing many aspects of this field. However, traditional computer-aided detection systems face challenges when categorizing lung nodule detection. Excessive reliance on classifiers at every stage of the process results in diminished recognition rates and an increased occurrence of false positives. To address these issues, we present a novel approach based on deep hybrid learning for classifying lung lesions. In this study, we explore multiple memory-efficient and hybrid deep neural network (DNN) architectures for image processing. Our proposed hybrid DNN significantly outperforms the current state-of-the-art, achieving an impressive accuracy of 95.21%, all while maintaining a balanced trade-off between specificity and sensitivity. The primary focus of this research is to differentiate between CT scans of patients who have early-stage lung cancer and those who do not. This is achieved by utilizing binary classification networks, including standard CNN, SqueezeNet, and MobileNet. 2023 IEEE. Creator An entity primarily responsible for making the resource Prasanna K.R.; Kumar R.V.; Mohanbabu G.; Selvam J.J.D.; Kumarnath J.; Sellapandi S.P. Source A related resource from which the described resource is derived 2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023 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/ICDSAAI59313.2023.10452545" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDSAAI59313.2023.10452545</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187793442&amp;doi=10.1109%2FICDSAAI59313.2023.10452545&amp;partnerID=40&amp;md5=cfcd4da5f399314751eda2033b4028b0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187793442&amp;doi=10.1109%2fICDSAAI59313.2023.10452545&amp;partnerID=40&amp;md5=cfcd4da5f399314751eda2033b4028b0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034891-0 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 Prasanna K.R., Bharath Institute of Higher Education and Research, Chennai, India; Kumar R.V., Sri Lakshmi Narayana Institute of Medical Science, Department of Physiology, Biher, India; Mohanbabu G., Chennai Institute of Technology, Department of Ece, Chennai, India; Selvam J.J.D., Christ(Deemed to Be University), School of Business and Management, Banglore, India; Kumarnath J., Psna College of Engineering and Technology, Dindigul, India; Sellapandi S.P., Psna College of Engineering and Technology, Dindigul, India