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Specialist hybrid models with asymmetric training for malaria prevalence prediction. (2023)

First Author: Fisher T

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/10.3389/fpubh.2023.1207624

PubMed Identifier: 37808978

Publication URI: http://europepmc.org/abstract/MED/37808978

Type: Journal Article/Review

Volume: 11

Parent Publication: Frontiers in public health

ISSN: 2296-2565