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 Utilizing Deep Learning Techniques for Lung Cancer Detection Subject The topic of the resource Architectures; Augmentation; Convolutional; Radiographs; Segmentation Description An account of the resource Deep learning can extract meaningful insights from complex biomedical statistics, which includes Radiographs and virtual tomosynthesis. Traits in contemporary deep studying architectures have enabled faster and more correct mastering of the functions gifted in clinical imagery, main to better accuracy and precision in medical analysis and imaging. Deep studying strategies may be used to pick out patterns within the pics which may be indicative of illnesses like lung cancer. Those ailment patterns, which include small lung nodules, can be used for early detection and prognosis of the sickness. Recent studies have employed deep learning strategies consisting of Convolutional Neural Networks (CNNs) and switch learning to come across most lung cancers in CT pictures. The first step in this manner is to generate datasets of pictures of the lungs, each from wholesome people and those with most lung cancers. Those datasets can then be used to teach a deep knowledge of a set of rules that may be optimized to it should locate those styles. Once educated, the version can be used to come across styles indicative of lung most cancers from new take a look at images with high accuracy. For further accuracy and reliability, extra up-processing techniques, along with segmentation and records augmentation, may be used. Segmentation can be used to detect a couple of lung nodules in a photo, and records augmentation can be used to lessen fake high quality outcomes. 2024 IEEE. Creator An entity primarily responsible for making the resource Madasu S.; Rolla K.J.; Patil S.C.; Gupta R.; Logeshwaran J. Source A related resource from which the described resource is derived 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 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/ICCCNT61001.2024.10724114" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT61001.2024.10724114</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213323501&amp;doi=10.1109%2FICCCNT61001.2024.10724114&amp;partnerID=40&amp;md5=0eb609ff194a8a06f3bb18910cfa7bcb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213323501&amp;doi=10.1109%2fICCCNT61001.2024.10724114&amp;partnerID=40&amp;md5=0eb609ff194a8a06f3bb18910cfa7bcb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037024-9 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 Madasu S., Microsoft, Charlotte, NC, United States; Rolla K.J., Independent Researcher, Fort Mill, SC, United States; Patil S.C., United States; Gupta R., Tejankar Hospital, MP, Ujjain, India; Logeshwaran J., CHRIST (Deemed to Be University), Department of Computer Science, Karnataka, Bengaluru, 560029, India