Computer Aided System for Red Blood Cell Classification in Blood Smear Image-Reference-Cited by-同舟云学术

Computer Aided System for Red Blood Cell Classification in Blood Smear Image

Published:2014 Issue: Volume:42 Page:206-213
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Tomari Razali,Zakaria Wan Nurshazwani Wan,Jamil Muhammad Mahadi Abdul,Nor Faridah Mohd,Fuad Nik Farhan Nik

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. Kim, K., et al., Automatic Cell Classification in Human's Peripheral Blood Images Based on Morphological Image Processing, in AI 2001: Advances in Artificial Intelligence, M. Stumptner, D. Corbett, and M. Brooks, Editors. 2001, Springer Berlin Heidelberg. p. 225-236.

2. Venkatalakshmi, B. and K. Thilagavathi. Automatic red blood cell counting using Hough transform., 2013 IEEE Conference on Information & Communication Technologies (ICT). 2013.

3. Bunn HF. Approach to the anemias. In: Goldman L, Schafer AI, eds. Cecil Medicine. 24th ed. Philadelphia, Pa: Saunders Elsevier; 2011:chap 161.

4. Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification;Habibzadeh;Journal of Theoretical and Applied Computer Science,2013

5. Peripheral blood smear image analysis: A comprehensive review;Mohammed;Journal of pathology informatics,2014

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