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Journal article

Image analysis and machine learning for detecting malaria

Abstract:

Malaria remains a major burden on global health, with roughly 200 million cases worldwide and more than 400,000 deaths per year. Besides biomedical research and political efforts, modern information technology is playing a key role in many attempts at fighting the disease. One of the barriers toward a successful mortality reduction has been inadequate malaria diagnosis in particular. To improve diagnosis, image analysis software and machine learning methods have been used to quantify parasite...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1016/j.trsl.2017.12.004

Authors


Poostchi, M More by this author
Silamut, K More by this author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM; Tropical Medicine
ORCID:
0000-0002-5355-0562
National Institutes of Health More from this funder
Wellcome Trust More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Translational Research Journal website
Volume:
194
Pages:
36-55
Publication date:
2018-01-05
Acceptance date:
2017-12-19
DOI:
EISSN:
1878-1810
ISSN:
1931-5244
Pubs id:
pubs:825593
URN:
uri:6532e962-5320-44eb-b176-d93778771a8a
UUID:
uuid:6532e962-5320-44eb-b176-d93778771a8a
Local pid:
pubs:825593
Keywords:

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