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.

A lightweight convolutional neural network for disease detection of fruit leaves.

Autor: Hari, Pragya¹ (AUTHOR) pragyah.phd20.cs@nitp.ac.in, Singh, Maheshwari Prasad¹ (AUTHOR)

Publikováno v: Neural Computing & Applications. Jul2023, Vol. 35 Issue 20, p14855-14866. 12p.

Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications : ICMISC 2023

Autor: Vinit Kumar Gunjan, Jacek M. Zurada

The book is a collection of the best-selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications (ICMISC 2023) held in September 2023 at the CMR Institute of Technology,