A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears.
<h4>Introduction</h4>Microscopy is the gold standard for diagnosis of malaria, however, manual evaluation of blood films is highly dependent on skilled personnel in a time-consuming, error-prone and repetitive process. In this study we propose a method using computer vision detection and...
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Main Authors: | Nina Linder, Riku Turkki, Margarita Walliander, Andreas Mårtensson, Vinod Diwan, Esa Rahtu, Matti Pietikäinen, Mikael Lundin, Johan Lundin |
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Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2014
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Online Access: | https://doaj.org/article/3c5ef5a36a884e74816fcef2a6783a27 |
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