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Leveraging deep learning for detecting red blood cell morphological changes in blood films from children with severe malaria anaemia. (2024)

First Author: Moysis E

Attributed to: Tackling Malaria Diagnosis in sub-Saharan Africa with Fast, Accurate and Scalable Robotic Automation, Computer Vision and Machine Learning (FASt-Mal) funded by GCRF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/bjh.19599

PubMed Identifier: 38894606

Publication URI: http://europepmc.org/abstract/MED/38894606

Type: Journal Article/Review

Volume: 205

Parent Publication: British journal of haematology

Issue: 2

ISSN: 0007-1048