Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images

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...

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Bibliographic Details
Main Authors: Sivaramakrishnan Rajaraman, Sameer K. Antani, Mahdieh Poostchi, Kamolrat Silamut, Md. A. Hossain, Richard J. Maude, Stefan Jaeger, George R. Thoma
Format: Article
Language:English
Published: PeerJ Inc. 2018-04-01
Series:PeerJ
Subjects:
Deep Learning
Convolutional Neural Networks
Machine Learning
Malaria
Blood smear
Pre-trained models
Online Access:https://peerj.com/articles/4568.pdf

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https://peerj.com/articles/4568.pdf

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