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 Image Recognition, Recusion Cellular Classification Using Different Techniques and Detecticting Microscopic Deformities Subject The topic of the resource Deep Convolutional neural networks; microscopic images; Transfer learning Description An account of the resource Deep convolutional neural networks (CNNs) have turn out to be one of the most advanced approaches trendy distinguishing snapshots in extraordinary fields. White blood cell classification is crucial for diagnosing anaemia, leukaemia, and a variety of other hematologic illnesses. Transfer learning with CNNs is frequently used in biological image categorization. Traditional methods for WBC classification is costly is terms of time and money. In the paper three convolutional neural network architectures are proposed which is based on transfer learning for microscopic image classification and compare the performance of models. The paper compares Transfer learning models like VGG-16, VGG-19, VGG-19 SVM hybrid and AlexNet. VGG-16 gives the best classification performance in comparison. VGG-16 model is which has a train accuracy of 0.9538 and train loss of 0.1322. 2022 IEEE. Creator An entity primarily responsible for making the resource Thomas S.; Vijaylakshmi S. Source A related resource from which the described resource is derived 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1053-1055. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACITE53722.2022.9823758" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACITE53722.2022.9823758</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135491583&amp;doi=10.1109%2FICACITE53722.2022.9823758&amp;partnerID=40&amp;md5=613cf674676c30ca147d9f5f4f85793f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135491583&amp;doi=10.1109%2fICACITE53722.2022.9823758&amp;partnerID=40&amp;md5=613cf674676c30ca147d9f5f4f85793f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543789-9 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 Thomas S., Christ (Deemed to Be University), Department of Data Science, Maharashtra, Lavasa, 412112, India; Vijaylakshmi S., Christ (Deemed to Be University), Department of Data Science, Maharashtra, Lavasa, 412112, India