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 Classification of Breast Invasive Ductal Carcinomas Using Histopathological Images Based on Deep Learning Techniques Subject The topic of the resource Breast cancer; Deep learning; Histology microscopy image; Invasive ductal cancer; Pattern recognition Description An account of the resource Women suffer from cancer, which is the main reason for death for females around the world. With the use of artificial intelligence, it is possible to predict and detect all types of cancers in the near future. It is not just women who can heal, and most breast cancers are caused by the most vulnerable type of breast. Eighty percent of all diagnoses of carcinoma are invasive ductal carcinomas (IDCs). In this paper, deep learning techniques are extended to support visible semantic evaluation of tumor areas, using convolutional neural networks (CNNs).A CNN is skilled ended a large number of photo covers (tissue areas) after Whole Slide Images (WSI) to study ranked part-based total image. About 600 normal image patches and 200 breast invasive ductal carcinomas are selected for the experiment. It was intended to amount classifier correctness in the detection of IDC tissue areas in Whole Slide Images. We achieved excellent measurable outcomes for an automated finding of IDC areas with our technique. The results are evaluated based on performance measures and compared with a different number of neurons, and the results are highlighted. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Jaisingh W.; Preethi N.; Murali S. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-990 LNEE, pp. 261-271. 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/10.1007/978-981-19-9090-8_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9090-8_23</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161198501&amp;doi=10.1007%2F978-981-19-9090-8_23&amp;partnerID=40&amp;md5=a47d82c0d2fba20961ded8c593186e00" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161198501&amp;doi=10.1007%2f978-981-19-9090-8_23&amp;partnerID=40&amp;md5=a47d82c0d2fba20961ded8c593186e00</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981199089-2 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 Jaisingh W., School of Information Science, Presidency University, Karnataka, Bangalore, 560064, India; Preethi N., Department of Data Science, Christ University, Bengaluru, India; Murali S., Department of Mathematics, Coimbatore Institute of Technology, Coimbatore, 641014, India