Plasmodium life cycle stage classification based quantification of malaria parasitaemia in thin blood smears-Reference-Cited by-同舟云学术

Plasmodium life cycle stage classification based quantification of malaria parasitaemia in thin blood smears

Published:2018-12-21 Issue:3 Volume:82 Page:283-295
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc. Res. Tech.

Author:

Abbas Naveed¹,Saba Tanzila²^ORCID,Rehman Amjad³,Mehmood Zahid⁴,kolivand Hoshang⁵,Uddin Mueen⁶,Anjum Adeel⁷

Affiliation:

1. Department of Computer ScienceIslamia College Peshawar Pakistan

2. College of Computer and Information SciencesPrince Sultan University Riyadh Saudi Arabia

3. College of Computer and Information SystemsAl Yamamah University Riyadh Saudi Arabia

4. Department of Software EngineeringUniversity of Engineering and Technology Taxila Pakistan

5. Department of Computer ScienceLiverpool John Moores University Liverpool UK

6. Information System DepartmentCollege of Engineering, Effat University of Jeddah Jeddah Saudi Arabia

7. Department of Computer ScienceCOMSATS University Islamabad Islamabad Pakistan

Funder

Prince Sultan University, Riyadh KSA

Machine Learning Research Group, Prince Sultan University, Riyadh, Saudi Arabia

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.23170

Reference58 articles.

1. Abbas N.(2015)Segmentation of parasites and splitting of red blood cells approaches for malaria parasitemia grading PhD thesis Universiti Teknologi Malaysia Skudai Malaysia.

2. Nuclei segmentation of leukocytes in blood smear digital images;Abbas N.;Pakistan Journal of Pharmaceutical Sciences,2015

3. Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears

4. Advanced image analysis based system for automatic detection and classification of malaria parasite in blood images;Ahirwar N.;International Journal of Information Technology,2012

5. Berge H. Taylor D.Krishnan S. Douglas T. S.Improved red blood cell counting in thin blood smears. IEEE International Symposium on Biomedical Imaging: From Nano to Macro 30 March to 2 April2011.

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