Malaria parasite detection and classification using CNN and YOLOv5 architectures

Malaria is a severe global public health issue that is caused by the bite of an infected mosquito. It is curable, but only with early detection and prompt, effective treatment. It may lead to severe conditions if it is not properly diagnosed and treated in its early stages. In the worst-case scenari...

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Main Authors: Wan Mohd Razin, Wan Rasyidah, Gunawan, Teddy Surya, Kartiwi, Mira, Md. Yusoff, Nelidya
Format: Conference or Workshop Item
Language:English
English
English
Published: IEEE 2022
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Online Access:http://irep.iium.edu.my/101860/7/101860_Malaria%20parasite%20detection%20and%20classification%20using%20CNN%20n%20YOLOv5%20arc.pdf
http://irep.iium.edu.my/101860/13/101816_Malaria%20parasite%20detection%20and%20classification%20using%20CNN%20and%20YOLOv5%20architectures_SCOPUS.pdf
http://irep.iium.edu.my/101860/1/RasyidahMalariaYOLO5v2PDFexpress.pdf
http://irep.iium.edu.my/101860/
https://icsima.ieeemy-ims.org/22/program-schedule/
https://doi.org/10.1109/ICSIMA55652.2022.9928992
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
English

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