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 A Review of Deep Learning Methods in Cervical Cancer Detection Subject The topic of the resource Cervical Cancer; Deep Learning; Medical Image Classification Description An account of the resource Cervical cancer is one of the most widespread and lethal malignancy that affects women aged 25 to 55 across the globe. Early detection of cervical cancer reduces burden of living and mortality drastically. Cervical cancer is caused through human papillomavirus transmitted sexually. Since the hereditary aspect is absent in cervical cancer, it can be cured completely if diagnosed early. Cervix cell image analysis is gold standard for classifying cervical cancer. Also known as pap smear, this histopathological test can provide dependable, and accurate diagnostic support. The current study examines the most recent research breakthroughs in deep learning models to classify cervical cancer. Three benchmark datasets are comprehensively described. Selective key classification models were implemented and comparative analysis was conducted on their performance. The findings of this study will allow researchers, publishers, and professionals to examine developing research patterns. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Lalasa M.; Thomas J. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-648 LNNS, pp. 624-633. 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/10.1007/978-3-031-27524-1_60" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-27524-1_60</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152560734&amp;doi=10.1007%2F978-3-031-27524-1_60&amp;partnerID=40&amp;md5=ceff89f97e84d867503c9c5f4f6b8483" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152560734&amp;doi=10.1007%2f978-3-031-27524-1_60&amp;partnerID=40&amp;md5=ceff89f97e84d867503c9c5f4f6b8483</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303127523-4 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 Lalasa M., CHRIST (Deemed to be University), Kengeri, Bangalore, 560075, India; Thomas J., CHRIST (Deemed to be University), Kengeri, Bangalore, 560075, India