Expert-level automated malaria diagnosis on routine blood films with deep neural networks.

Autor: Manescu P; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Shaw MJ; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Elmi M; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Neary-Zajiczek L; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Claveau R; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Pawar V; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Kokkinos I; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Oyinloye G; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria., Bendkowski C; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Oladejo OA; Department of Computer Science, University of Ibadan, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Oladejo BF; Department of Computer Science, University of Ibadan, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Clark T; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Timm D; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Shawe-Taylor J; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Srinivasan MA; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Lagunju I; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Sodeinde O; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria., Brown BJ; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria., Fernandez-Reyes D; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.; Department of Paediatrics, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; Childhood Malaria Research Group, College of Medicine University of Ibadan, University College Hospital, Ibadan, Nigeria.; African Computational Sciences Centre for Health and Development, University of Ibadan, Ibadan, Nigeria.

Publikováno v: American journal of hematology [Am J Hematol] 2020 Aug; Vol. 95 (8), pp. 883-891. Date of Electronic Publication: 2020 Apr 30.