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Novel 'Man and Machine' decision support system makes malaria diagnostics more effective |
August 25, 2014
A novel “man and machine” decision support system for diagnosing malaria infection has been developed by researchers. This innovative diagnostic aid 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.
Link: http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computer_science/~3/q3MUZddOb2c/140821154010.htm
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