NDLI: Analysis of leukemia development based on marrow cell images

Content Provider	IEEE Xplore Digital Library
Author	Xitao Zheng Yongwei Zhang Jun Shi Yehua Yu
Copyright Year	2011
Description	Author affiliation: College of Information Technology, Shanghai Ocean University, No.999 HuCheng Circle Road, LinGang New City, 201306, China (Xitao Zheng; Yongwei Zhang) \|\| Hematology Department, Shanghai Jiao Tong University Affiliated No.6 People's Hospital, No. 600 Yishan Road, 200233, China (Jun Shi; Yehua Yu)
Abstract	To analyze the development of leukemia in bone marrow, a C-Mean fuzzy clustering recognition method is proposed to identify cells from sliced marrow images so that the movement of promyelocytes to the blood can be tracked. In our image processing, red cells, leukocytes, megakaryocyte, and cytoplasm carry the same color because of the failure of staining. We use the gray value distribution, the texture patterns to construct a cluster based evaluation groups to establish the minimum object function value which when it fall in the desired category, indicates the matching of the objects and thus we can obtain the number of the specific cells in the picture. Multiple pictures are tested using this method. The 80% recognition rate can be easily reached. There are cases when the pictures are poorly illuminated or blurred which can hardly be recognized, these kinds of pictures are manually removed because of the limitation of digital picture processing.
Starting Page	95
Ending Page	99
File Size	444683
Page Count	5
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6099937
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image recognition Image color analysis Fuzzy clustering Clustering algorithms marrow cell image Feature extraction Bones C-Mean Blood pattern recognition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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