Machine learning algorithm for the rapid and accurate detection of Plasmodium falciparum
Background: Manual cell counting is a malaria diagnostic bottleneck which could be alleviated by assistance from automated labelling. The high prevalence of malaria in under-developed regions requires highly precise and computationally efficient models to achieve rapid and accurate diagnosis, which...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | International Journal of Infectious Diseases |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971224005149 |
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