Image analysis of plasmodium malariae and Plasmodium ovale

Lead PI: Yanis Ben Amor

Unit Affiliation: Center for Sustainable Development (CSD)

May 2019 - June 2020
Inactive
; Accra, Ghana ; Cape Coast, Ghana
Project Type: Research

DESCRIPTION: Develop an AI algorithm for the rapid diagnosis of plasmodium malariae and plasmodium ovale

OUTCOMES: Automated diagnosis of plasmodium malariae and plasmodium ovale

SPONSOR:

Noul (Korea)

FUNDED AMOUNT:

$118,027

RESEARCH TEAM:

Zelda Moran

EXTERNAL COLLABORATORS:

University of Ghana

KEYWORDS

diagnosis malaria artificial intelligence