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Obtaining deep learning models for automatic classification of leukocytes

2020Book part Open access
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dc.contributor.authorRodrigues, Pedro João
dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorBeato, Romeu Ferreira
dc.date.accessioned2020-07-27T14:32:40Z
dc.date.available2020-07-27T14:32:40Z
dc.date.issued2020
dc.description.abstractIn this work, the authors classify leukocyte images using the neural network architectures that won the annual ILSVRC competition. The classification of leukocytes is made using pretrained networks and the same networks trained from scratch in order to select the ones that achieve the best performance for the intended task. The categories used are eosinophils, lymphocytes, monocytes, and neutrophils. The analysis of the results takes into account the amount of training required, the regularization techniques used, the training time, and the accuracy in image classification. The best classification results, on the order of 98%, suggest that it is possible, considering a competent preprocessing, to train a network like the DenseNet with 169 or 201 layers, in about 100 epochs, to classify leukocytes in microscopy images.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRodrigues, Pedro João; Igrejas, Getúlio; Beato, Romeu Ferreira (2020). Obtaining deep learning models for automatic classification of leukocytes. In Mahrishi, Mehul [et al.] Machine Learning and Deep Learning in Real- Time Applications. IGI Global. p.1 - 32. ISBN 978-1-7998-3095-5pt_PT
dc.identifier.doi10.4018/978-1-7998-3095-5.ch001pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/22527
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIGI Globalpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDeep learningpt_PT
dc.subjectLeukocytespt_PT
dc.titleObtaining deep learning models for automatic classification of leukocytespt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage32pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleMachine Learning and Deep Learning in Real- Time Applicationspt_PT
person.familyNameRodrigues
person.familyNameIgrejas
person.givenNamePedro João
person.givenNameGetúlio
person.identifier.ciencia-id1316-21BB-9015
person.identifier.orcid0000-0002-0555-2029
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsrestrictedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication6c5911a6-b62b-4876-9def-60096b52383a
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscovery6c5911a6-b62b-4876-9def-60096b52383a

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