Effective creation of ground truth data-set for Malaria diagnosis

dc.contributor.author	Shaka, Martha
dc.date.accessioned	2021-05-18T16:21:30Z
dc.date.available	2021-05-18T16:21:30Z
dc.date.issued	2020
dc.description.abstract	The goal is to reduce mortality rates related to malaria, particularly in marginalised communities. Several Artificial Intelligence (AI) techniques have been used to solve challenges in the existing malaria diagnosis tools. The presentation summarizes the project, which has collected a dataset of 10,000 blood sample images (stained blood smear). Using the data, an open-source annotation tool was created. Working with the AI4D (Artificial Intelligence for Development) the final aim is to develop a mobile application that will assist lab technologists in malaria diagnosis.	en
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/10625/60131
dc.language.iso	en
dc.subject	MALARIA	en
dc.subject	DIAGNOSTIC IMAGING	en
dc.subject	MEDICAL DIAGNOSIS	en
dc.subject	DATABASES	en
dc.subject	AI4D	en
dc.subject	ARTIFICIAL INTELLIGENCE	en
dc.subject	MOBILE APPLICATIONS	en
dc.subject	OPEN DATA	en
dc.subject	GLOBAL HEALTH	en
dc.subject	SOUTH OF SAHARA	en
dc.title	Effective creation of ground truth data-set for Malaria diagnosis	en
dc.type	Presentation	en
idrc.copyright.holder	© 2021, MARTHA SHAKA
idrc.copyright.oapermissionsource	CC BY 4.0	en
idrc.dspace.access	Open Access	en
idrc.project.componentnumber	108914001
idrc.project.number	108914
idrc.project.title	Building a network of excellence in artificial intelligence in Sub-Saharan Africa	en
idrc.rims.adhocgroup	IDRC SUPPORTED	en

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