Erythrocyte segmentation for quantification in microscopic images of thin blood smears-Reference-Cited by-同舟云学术

Erythrocyte segmentation for quantification in microscopic images of thin blood smears

Published:2017-03-29 Issue:4 Volume:32 Page:2847-2856
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Devi Salam Shuleenda¹,Singha Joyeeta²,Sharma Manish¹,Laskar Rabul Hussain¹

Affiliation:

1. Department of Electronics and Communication Engineering, National Institute of Technology, Silchar, Assam, India

2. Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur, Rajasthan, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference27 articles.

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4. Segmentation of blood images using morphological operators;Di Rubeto;Proceedings of Pattern Recognition,2000

5. Blood cell segmentation using minimum area watershed and circle radon transformations;Tek;Proceedings of the 7th International Symposium on Mathematical Morphology,2005

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