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 and deep learning techniques for breast cancer detection using ultrasound imaging Subject The topic of the resource Artificial intelligence; Breast cancer classification; Computer-aided diagnosis (CAD); Deep learning; Magnetic resonance imaging (MRI); Mammogram; Radiology; Ultrasound Description An account of the resource One of the greatest causes leading to death in women is breast cancer. Its prompt and precise identification can reduce the mortality risk associated with the disease. With the help of computer-based detection, radiologists can identify irregularities. To identify and diagnose numerous illnesses and anomalies, medical photographs are sources of important information. Various techniques help radiographers to examine the internal system, and these techniques have generated a significant amount of attention across several fields of research. Each of these approaches holds a great deal of relevance in many healthcare sectors. Using artificial intelligence techniques, this article aims to present a study that highlights current developments in the detection and classification of breast cancer. The categorization of breast cancer using many medical imaging modalities is discussed in this article. It initially offers a summary of the various machine learning methodologies, followed by a summary of the various deep learning algorithms used in the detection and characterization of metastatic breast tumors. To give an insight into the field, we also give a quick summary of the various imaging techniques. The chapter concludes by summarizing the upcoming developments and difficulties in the diagnosis and classification of breast cancer. 2024 Elsevier Inc. All rights reserved. Creator An entity primarily responsible for making the resource Ajmani P.; Sharma V.; Rai R.H.; Kalra S. Source A related resource from which the described resource is derived Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images, pp. 235-257. Publisher An entity responsible for making the resource available Elsevier 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/10.1016/B978-0-443-13999-4.00002-X" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-13999-4.00002-X</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191112356&amp;doi=10.1016%2FB978-0-443-13999-4.00002-X&amp;partnerID=40&amp;md5=22b6f07587ea0ea06b64103dc34d1f79" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191112356&amp;doi=10.1016%2fB978-0-443-13999-4.00002-X&amp;partnerID=40&amp;md5=22b6f07587ea0ea06b64103dc34d1f79</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-044313999-4; 978-044314000-6 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 Ajmani P., Vivekananda Institute of Professional Studies-TC, GGSIPU, New Delhi, India; Sharma V., Computer Science Department, CHRIST (Deemed to be University), Delhi-NCR, India; Rai R.H., School of Physiotherapy, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India; Kalra S., School of Physiotherapy, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India