Computing Sickle Erythrocyte Health Index on quantitative phase imaging and machine learning-Reference-Cited by-同舟云学术

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Computing Sickle Erythrocyte Health Index on quantitative phase imaging and machine learning

Published:2024-03 Issue: Volume:131 Page:104166
ISSN:0301-472X
Container-title:Experimental Hematology
language:en
Short-container-title:Experimental Hematology

Author:

Ansong-Ansongton Yaw Ofosu Nyansa^ORCID,Adamson Timothy D.

Funder

NSF

Publisher

Elsevier BV

Reference49 articles.

1. Advances in the diagnosis and treatment of sickle cell disease;Brandow;J Hematol Oncol,2022

2. CE: understanding the complications of sickle cell disease;Tanabe;Am J Nurs,2019

3. Trends in sickle cell disease–related mortality in the United States, 1979 to 2017;Payne;Ann Emerg Med,2020

4. A critical review of sickle cell disease burden and challenges in sub-Saharan Africa;OP;J Blood Med,2023

5. Sickle cell disease—genetics, pathophysiology, clinical presentation and treatment;Inusa;Int J Neonatal Screen,2019

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