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Malaria Screener
Yu and colleagues present
Diagnosis
Nigeria
Malaria Screener’, a novel smartphone-based semi-automated system which can analyse images for malaria screening, combined with a user-friendly interface. The application consists of three independent modules on slide-screening, data management and data upload which work together to achieve the desired function – the application is designed to be adaptable and customised, with open-source code hosted on GitHub. Furthermore, the parasite detection algorithm can be easily swapped – this ensures that other groups in this field of research can experiment with other algorithms and approaches to advance the automation of malaria diagnosis, thus serving as a code base for future developments within the area.