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 Machine Learning Techniques for Automated Nuclear Atypia Detection in Histopathology Images: A Review Subject The topic of the resource Breast cancer; Deep learning; Histopathological image; Machine learning; Nuclear atypia detection; Nuclear pleomorphism Description An account of the resource Nuclear atypia identification is an important stage in pathology procedures for breast cancer diagnosis and prognosis. The introduction of image processing techniques to automate nuclear atypia identification has made the very tedious, error-prone, and time-consuming procedure of manually observing stained histopathological slides much easier. In the last decade, several solutions for resolving this problem have emerged in the literature, and they have shown positive incremental advancements in this fieldof study. The nuclear atypia count is an important measure to consider when assessing breast cancer. This work provides a comprehensive review of automated nuclear atypia scoring process which includes the current advancements and future prospects for this critical undertaking, which will aid humanity in the fight against cancer. In this study, we examine the various techniques applied in detecting nuclear atypiain breast cancer as well as the major hurdles that must be overcome and the use of benchmark datasets in this domain. This work provides a comprehensive review of automated nuclear atypia scoring process which includes the current advancements and prospects for this critical undertaking, which will aid humanity in the fight against cancer. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Varghese J.; Saleema J.S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-563, pp. 717-740. 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/10.1007/978-981-19-7402-1_51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-7402-1_51</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151155789&amp;doi=10.1007%2F978-981-19-7402-1_51&amp;partnerID=40&amp;md5=eb0634517ce5cf69a0f352afa118becf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151155789&amp;doi=10.1007%2f978-981-19-7402-1_51&amp;partnerID=40&amp;md5=eb0634517ce5cf69a0f352afa118becf</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981197401-4 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 Varghese J., Department of Computer Science, Christ Deemed to Be University, Karnataka, Bengaluru, 560029, India, Christ Academy Institute for Advanced Studies, Karnataka, Bengaluru, 560083, India; Saleema J.S., Department of Computer Science, Christ Deemed to Be University, Karnataka, Bengaluru, 560029, India