Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Classification of Three Types of Red Blood Cells in Peripheral Blood Smear Based on Morphology Publisher



Soltanzadeh R1 ; Rabbani H1
Authors

Source: International Conference on Signal Processing Proceedings, ICSP Published:2010


Abstract

Analysis of microscopic images is used in many fields of technology and medicine. In some medical experiments, some drugs, with known effects in red blood cells (R.B.Cs) membranes, are used to find out their activity. In addition, different diseases affect the appearance of R.B.Cs and cause the malfunction of the internal organs. In this paper, Elliptocytes, Discocytes and Echinocytes, which are three known R.B.Cs, are classified in a peripheral blood smear based on morphological methods. For this reason, a simple statistical analysis of distances of each edge pixel from mass center is employed. This method is 98.63% successful for Elliptocyte recognition, 96.7% successful for the normal Discocyte recognition and 95.36% successful for Echinocyte recognition. © 2010 IEEE.
Experts (# of related papers)
Other Related Docs
5. Selection of the Best Features for Leukocytes Classification in Blood Smear Microscopic Images, Progress in Biomedical Optics and Imaging - Proceedings of SPIE (2014)
10. Circlet Transform in Cell and Tissue Microscopy, Optics and Laser Technology (2020)
11. Detection of Collagenous Colitis Based on Histopathology Image Segmentation of Colon, 2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings (2011)
14. A New Curvelet Transform Based Method for Extraction of Red Lesions in Digital Color Retinal Images, Proceedings - International Conference on Image Processing, ICIP (2010)
20. A Simple and Accurate Method for White Blood Cells Segmentation Using K-Means Algorithm, IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation (2015)