An algorithm to detect overlapping red blood cells for sickle cell disease diagnosis-Reference-Cited by-同舟云学术

An algorithm to detect overlapping red blood cells for sickle cell disease diagnosis

Published:2022-02-05 Issue:6 Volume:16 Page:1669-1677
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Vicent Mabirizi¹^ORCID,Simon Kawuma²,Yonasi Safari³

Affiliation:

1. Department of Information Technology and Computer Science Kabale University Kabale Uganda

2. Department of Software Engineering Mbarara University of Science and Technology Mbarara Uganda

3. Department Information Technology Mbarara University of Science and Technology Mbarara Uganda

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12439

Reference33 articles.

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2. The quality of information about sickle cell disease on the Internet for youth

3. Detection of abnormal findings in human RBC in diagnosing sickle cell anaemia using image processing;Rakshit P.;Elsevier,2013

4. MoH Sickle cells disease on the rise in Uganda.http://library.health.go.ug/news/uganda‐sickle‐cells‐disease‐rise‐uganda(2019). Accessed 09 June 2019

5. Family, Community, and Health System Considerations for Reducing the Burden of Pediatric Sickle Cell Disease in Uganda Through Newborn Screening

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