A novel framework for white blood cell segmentation based on stepwise rules and morphological features

2011 ◽  
Author(s):  
Ja-Won Gim ◽  
Junoh Park ◽  
Ji-Hyeon Lee ◽  
ByoungChul Ko ◽  
Jae-Yeal Nam
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Morphological Features ◽  
Cell Segmentation

Development and study of a method for cell separation during white blood cell segmentation on images of bone marrow preparations in information and measurement systems for diagnostics of acute leukemia

2020 ◽  
pp. 68-72
Author(s):  
V.G. Nikitaev ◽  
A.N. Pronichev ◽  
V.V. Dmitrieva ◽  
E.V. Polyakov ◽  
A.D. Samsonova ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
Acute Leukemia ◽  
White Blood Cell ◽  
Cell Separation ◽  
Large Scale ◽  
Bone Marrow Cells ◽  
Automated Analysis ◽  
Cell Segmentation ◽  
Measurement Systems

The issues of using of information and measurement systems based on processing of digital images of microscopic preparations for solving large-scale tasks of automating the diagnosis of acute leukemia are considered. The high density of leukocyte cells in the preparation (hypercellularity) is a feature of microscopic images of bone marrow preparations. It causes the proximity of cells to eachother and their contact with the formation of conglomerates. Measuring of the characteristics of bone marrow cells in such conditions leads to unacceptable errors (more than 50%). The work is devoted to segmentation of contiguous cells in images of bone marrow preparations. A method of cell separation during white blood cell segmentation on images of bone marrow preparations under conditions of hypercellularity of the preparation has been developed. The peculiarity of the proposed method is the use of an approach to segmentation of cell images based on the watershed method with markers. Key stages of the method: the formation of initial markers and builds the lines of watershed, a threshold binarization, shading inside the outline. The parameters of the separation of contiguous cells are determined. The experiment confirmed the effectiveness of the proposed method. The relative segmentation error was 5 %. The use of the proposed method in information and measurement systems of computer microscopy for automated analysis of bone marrow preparations will help to improve the accuracy of diagnosis of acute leukemia.

scholarly journals A Framework for White Blood Cell Segmentation in Microscopic Blood Images Using Digital Image Processing

2009 ◽  
Vol 11 (1) ◽  
pp. 196-206 ◽  
Author(s):  
Farnoosh Sadeghian ◽  
Zainina Seman ◽  
Abdul Rahman Ramli ◽  
Badrul Hisham Abdul Kahar ◽  
M-Iqbal Saripan
Keyword(s):  
Image Processing ◽  
Blood Cell ◽  
Digital Image Processing ◽  
White Blood Cell ◽  
Digital Image ◽  
Cell Segmentation

White Blood Cell Segmentation for Acute Leukemia Bone Marrow Images

2012 ◽  
Vol 2 (3) ◽  
pp. 278-284 ◽  
Author(s):  
Lim Huey Nee ◽  
Mohd Yusoff Mashor ◽  
Rosline Hassan
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
Acute Leukemia ◽  
White Blood Cell ◽  
Cell Segmentation

A novel white blood cell segmentation scheme based on feature space clustering

2005 ◽  
Vol 10 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Kan Jiang ◽  
Qing-Min Liao ◽  
Yuan Xiong
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Feature Space ◽  
Cell Segmentation

White Blood Cell Segmentation and Reversible Watermarking

2011 ◽  
Author(s):  
Feminna Sheeba ◽  
Robinson Thamburaj ◽  
Joy J. Mammen ◽  
Hannah M. Thomas Thevarthundiyil ◽  
Atulya K. Nagar
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Reversible Watermarking ◽  
Cell Segmentation
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