Effective creation of ground truth data-set for Malaria diagnosis
Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
item.page.type
Presentation
item.page.format
Keywords
MALARIA, DIAGNOSTIC IMAGING, MEDICAL DIAGNOSIS, DATABASES, AI4D, ARTIFICIAL INTELLIGENCE, MOBILE APPLICATIONS, OPEN DATA, GLOBAL HEALTH, SOUTH OF SAHARA