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Malaria Blood Smears Object Detection Based on Convolutional DCGAN and CNN Deep Learning Architectures

Resource type
Title
Malaria Blood Smears Object Detection Based on Convolutional DCGAN and CNN Deep Learning Architectures
Book Title
Computer and Information Science
Volume
1055
Date
2023
Publisher
Springer International Publishing
Place
Cham
Pages
197-212
ISBN
978-3-031-12126-5 978-3-031-12127-2
Accessed
4/26/23, 7:34 AM
Language
en
Library Catalog
DOI.org (Crossref)
Citation
Gois, F. N. B., Marques, J. A. L., De Oliveira Dantas, A. B., Santos, M. C., Neto, J. V. S., De Macêdo, J. A. F., Du, W., & Li, Y. (2023). Malaria Blood Smears Object Detection Based on Convolutional DCGAN and CNN Deep Learning Architectures. In R. Lee (Ed.), Computer and Information Science (Vol. 1055, pp. 197–212). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_14