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Anaemia Detection Using Smartphone Images

Published:15 March 2023Publication History

ABSTRACT

This paper proposes a new approach for the non-invasive detection of anaemia using the images of anterior conjunctival pallor captured by the Smartphone. The aim of this research work is to integrate technology with the visual detection technique used by the clinicians to estimate the anaemia detection for quick preliminary diagnosis as well as follow-ups, especially in the remote areas of India where accessibility & affordability of healthcare services is still a major concern. The objective of this research work is to introduce the automation of healthcare facilities in remote areas of India by developing an open-source website integrated with an accurate computational based algorithm. The proposed algorithm developed could achieve 81.27 % accuracy for the detection of anaemia and with further improvement can be a viable alternative to the existing methods for anaemia detection thereby creating a humanitarian impact.

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  1. Anaemia Detection Using Smartphone Images

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          ICBBE '22: Proceedings of the 2022 9th International Conference on Biomedical and Bioinformatics Engineering
          November 2022
          306 pages
          ISBN:9781450397223
          DOI:10.1145/3574198

          Copyright © 2022 ACM

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          Publication History

          • Published: 15 March 2023

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