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Contact: Dr. Nina Linder
nina.linder@helsinki.fi
358-445-555-407
University of Helsinki

A Novel 'Man and Machine' Decision for Malaria Diagnostics

Caption: The method is based on computer vision algorithms similar to those used in facial recognition systems combined with visualization of only the diagnostically most relevant areas. Tablet computers can be utilized in viewing the images.

Credit: Photo: Ari Hallami / FIMM

Usage Restrictions: The image may only be used with appropriate caption and credit.

Related news release: A novel 'man and machine' decision support system makes malaria diagnostics more effective


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