Expert‐level automated malaria diagnosis on routine blood films with deep neural networks-Reference-Cited by-同舟云学术

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

Published:2020-04-30 Issue:8 Volume:95 Page:883-891
ISSN:0361-8609
Container-title:American Journal of Hematology
language:en
Short-container-title:Am J Hematol

Author:

Manescu Petru¹,Shaw Michael J.¹,Elmi Muna¹,Neary‐Zajiczek Lydia¹,Claveau Remy¹,Pawar Vijay¹,Kokkinos Iasonas¹,Oyinloye Gbeminiyi²³,Bendkowski Christopher¹,Oladejo Olajide A.⁴⁵,Oladejo Bolanle F.⁴⁵,Clark Tristan¹,Timm Denis¹,Shawe‐Taylor John¹,Srinivasan Mandayam A.¹,Lagunju Ikeoluwa²³⁵,Sodeinde Olugbemiro¹²³,Brown Biobele J.²³⁵,Fernandez‐Reyes Delmiro¹²³⁵^ORCID

Affiliation:

1. Department of Computer Science, Faculty of Engineering SciencesUniversity College London London UK

2. Department of Paediatrics, College of Medicine University of IbadanUniversity College Hospital Ibadan Nigeria

3. Childhood Malaria Research GroupCollege of Medicine University of Ibadan, University College Hospital Ibadan Nigeria

4. Department of Computer ScienceUniversity of Ibadan Ibadan Nigeria

5. African Computational Sciences Centre for Health and DevelopmentUniversity of Ibadan Ibadan Nigeria

Funder

Engineering and Physical Sciences Research Council

University College London

Publisher

Wiley

Subject