A novel “Man and Machine” decision support system makes malaria diagnostics more effective
A Finnish-Swedish research group at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, and Karolinska institutet, Stockholm, has developed a novel “man and machine” decision support system for diagnosing malaria infection. The method is based on computer vision algorithms similar to those used in facial recognition systems combined with visualization of only the […]
