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 X-Tract: Framework for Flexible Extraction of Features in Chest Radiographs for Disease Diagnosis Using Machine Learning Subject The topic of the resource Diagnostic methods; Feature engineering; Image classification; Pre-built models; Statistical techniques; Support vector machines; Textural descriptors; X-rays Description An account of the resource Various types of medical images are used as diagnostic tools for identifying pathologies in human bodies, and in this research, chest X-ray images are used as diagnostic tools. Several pre-built models are created by the participants of ImageNet competitions for non-medical images, and these models are also being used in medical image classification; for example, Khan et al. (Comput Methods Prog Biomed 196:105581, 2020) developed a model called Coronet and Narayan Das et al. (IRBM 1:16, 2020) proposed a deep transfer learning-based model. Instead of using the pre-built models, a different approach was taken to address this problem. A framework was created to extract the frequency and spatial domain-based features, along with the raw statistics of the images. The model proposed in this article using the SVM algorithm has reached accuracy levels ranging from 91% to 97% and sensitivity of 92% to 96% on various samples of test data of over 400 images. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Yugandhar C.; Hiremath M. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-351, pp. 335-349. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-99-2468-4_26" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-2468-4_26</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169045629&amp;doi=10.1007%2F978-981-99-2468-4_26&amp;partnerID=40&amp;md5=1349a7c567fe2e4bc8e049fc76e9299e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169045629&amp;doi=10.1007%2f978-981-99-2468-4_26&amp;partnerID=40&amp;md5=1349a7c567fe2e4bc8e049fc76e9299e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981992467-7 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 Yugandhar C., Department of Computer Science, Christ University, Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India; Hiremath M., Department of Computer Science, Christ University, Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India