Computer Aided System for Red Blood Cell Classification in Blood Smear Image
Razali Tomari,Wan Nurshazwani Wan Zakaria,Muhammad Mahadi Abdul Jamil,Faridah Mohd Nor,Nik Farhan Nik Fuad +4 more
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TLDR
A computer-aided systems is proposed to automate the process of detection and identification of RBC from blood smear image and demonstrates a reliable and effective system for classifying normal and abnormal RBC.About:
This article is published in Procedia Computer Science.The article was published on 2014-01-01 and is currently open access. It has received 92 citations till now.read more
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Proceedings ArticleDOI
Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning
Muhammad Imran Razzak,Saeeda Naz +1 more
TL;DR: This work has presented efficient contour aware segmentation approach based based on fully conventional network whereas for classification the authors have used extreme machine learning based on CNN features extracted from each segmented cell.
Proceedings ArticleDOI
A survey of medical image classification techniques
TL;DR: The reviews showed the improvement of image classification techniques such as to increase accuracy and sensitivity value and to be feasible employed for computer-aided-diagnosis are a big challenge and an open research.
Journal ArticleDOI
A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia
TL;DR: An attempt has been made to review the available works in the area of medical image processing of blood smear images, highlighting automated detection of leukemia.
Journal ArticleDOI
A Review of Automated Methods for the Detection of Sickle Cell Disease
TL;DR: This review emphasizes state-of-the-art methods and recent advances in detection, segmentation, and classification of sickle cell disease and discusses key challenges encountered during the segmentation of overlapping blood cells.
Journal ArticleDOI
Peripheral blood smear analysis using image processing approach for diagnostic purposes: A review
TL;DR: There is a need for a method of automation to match with human evaluation process and rule out any abnormality present in the blood smear, and it is desirable for studies on automation of peripheral blood smear analysis to focus on development of robust method to handle illumination and color shade variations.
References
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Journal ArticleDOI
Visual pattern recognition by moment invariants
TL;DR: It is shown that recognition of geometrical patterns and alphabetical characters independently of position, size and orientation can be accomplished and it is indicated that generalization is possible to include invariance with parallel projection.
Proceedings ArticleDOI
Red blood cell segmentation using masking and watershed algorithm: A preliminary study
TL;DR: This paper will present an approach for red blood cell (RBC) segmentation which is a part of study to perform automated counting for RBC and the methods involve are Ycbcr color conversion, masking, morphological operators and watershed algorithm.
Proceedings ArticleDOI
Segmentation of blood images using morphological operators
TL;DR: Morphological approach to cell image segmentation more accurate than the classical watershed-based algorithm is introduced and a non-flat disk-shaped structuring element is used to enhance the roundness and compactness of the red cells improving the accuracy of the Classical watershed algorithm.