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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Machine learning approaches towards medical images Description An account of the resource Clinical imaging relies heavily on the current medical services' framework to perform painless demonstrative therapy. It entails creating usable and instructive models of the human body's internal organs and structural systems for use in clinical evaluation. Its various varieties include signal-based techniques such as conventional X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US) imaging, and mammography. Despite these clinical imaging techniques, clinical images are increasingly employed to identify various problems, particularly those that are upsetting the skin. Imaging and processing are the two distinct patterns of clinical imaging. To diagnose diseases, automatic segmentation using deep learning techniques in the field of clinical imaging is becoming vital for identifying evidence and measuring examples in clinical images. The fundamentals of deep learning techniques are discussed in this chapter along with an overview of successful implementations. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Gayathri S.P.; Ramasamy S.S.; Vijayalakshmi S. Source A related resource from which the described resource is derived Structural and Functional Aspects of Biocomputing Systems for Data Processing, pp. 124-145. Publisher An entity responsible for making the resource available IGI Global 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/10.4018/978-1-6684-6523-3.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-6523-3.ch006</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151459822&amp;doi=10.4018%2F978-1-6684-6523-3.ch006&amp;partnerID=40&amp;md5=1ea6013d0e0d7e46f89f150c174c3b68" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151459822&amp;doi=10.4018%2f978-1-6684-6523-3.ch006&amp;partnerID=40&amp;md5=1ea6013d0e0d7e46f89f150c174c3b68</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166846525-7; 166846523X; 978-166846523-3 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gayathri S.P., The Gandhigram Rural Institute (Deemed), India; Ramasamy S.S., International College of Digital Innovation (ICDI), Chiang Mai University, Thailand; Vijayalakshmi S., Department of Data Science, Christ University (Deemed), India