Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
Malaria is a blood disease caused by the Plasmodium parasites transmitted through the bite of female Anopheles mosquito. Microscopists commonly examine thick and thin blood smears to diagnose disease and compute parasitemia. However, their accuracy depends on smear quality and expertise in classifyi...
| Hauptverfasser: | , , , , , , , |
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| Format: | Journal article |
| Sprache: | English |
| Veröffentlicht: |
PeerJ
2018
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