Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images-Reference-Cited by-同舟云学术

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Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images

Published:2024 Issue: Volume:45 Page:101451
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Asare Justice Williams^ORCID,Brown-Acquaye William Leslie,Ujakpa Martin Mabeifam,Freeman Emmanuel,Appiahene Peter

Publisher

Elsevier BV

Reference58 articles.

1. Detection of anaemia from retinal fundus images via deep learning;Mitani;Nat Biomed Eng,2020

2. A new method and a non-invasive device to estimate anemia based on digital images of the conjunctiva;Dimauro;IEEE Access,2018

3. Prevalence of iron deficiency anemia among University Students in hodeida province, Yemen;Al-alimi;Anemia,2018

4. Detection anemia based on conjunctiva pallor level using k-means a lgorithm;Sevani;IOP Conf Ser Mater Sci Eng,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms;Visual Computing for Industry, Biomedicine, and Art;2024-07-17

2. Analysis of Conjunctiva for Screening of Anemia;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17

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