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Applied Artificial Intelligence

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Volume 36, 2022 - Issue 1

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Research Article

A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images

David Opeoluwa Oyewolaa Department of Mathematics and Computer Science, Federal University Kashere, Gombe, Nigeria

https://orcid.org/0000-0001-9638-8764

Emmanuel Gbenga Dadab Department of Mathematical Sciences, University of Maiduguri, Maiduguri, Nigeria

https://orcid.org/0000-0002-1132-5447

Sanjay Misrac Department of Computer Science and Communication, Østfold University College, Halden, NorwayCorrespondence[email protected]

https://orcid.org/0000-0002-3556-9331

Robertas Damaševičiusd Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland

https://orcid.org/0000-0001-9990-1084

Article: 2033473 | Received 16 Nov 2021, Accepted 20 Jan 2022, Published online: 25 Jan 2022

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https://doi.org/10.1080/08839514.2022.2033473
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A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images

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A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images

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