Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images

Research article (Diagnostics, 2021) · cited 52× · AI/ML
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Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images

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Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images is a scholarly article[1].

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  • Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnosing-malaria-patients-with-plasmodium-falciparum-and-vivax-using-deep-learning-for-thick-smear-images
MLA “Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnosing-malaria-patients-with-plasmodium-falciparum-and-vivax-using-deep-learning-for-thick-smear-images.
BibTeX @misc{4ortxyz_diagnosing-malaria-patients-with-plasmodium-falciparum-and-vivax-using-deep-learning-for-thick-smear-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images}}, year = {2026}, url = {https://4ort.xyz/entity/diagnosing-malaria-patients-with-plasmodium-falciparum-and-vivax-using-deep-learning-for-thick-smear-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images — https://4ort.xyz/entity/diagnosing-malaria-patients-with-plasmodium-falciparum-and-vivax-using-deep-learning-for-thick-smear-images (retrieved 2026-05-24)

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