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Automatic segmentation, counting, size determination and classification of white blood cells.

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Title: Automatic segmentation, counting, size determination and classification of white blood cells.
Authors: Nazlibilek, Sedat1, Karacor, Deniz2, Ercan, Tuncay3, Sazli, Murat Husnu2, Kalender, Osman4, Ege, Yavuz5 yavuzege@gmail.com
Source: Measurement (02632241). Sep2014, Vol. 55, p58-65. 8p.
Subjects: Digital counters, Leukocyte count, Cell size, Leukemia, Cytometry, Blood sampling
Abstract: The counts, the so-called differential counts, and sizes of different types of white blood cells provide invaluable information to evaluate a wide range of important hematic pathologies from infections to leukemia. Today, the diagnosis of diseases can still be achieved mainly by manual techniques. However, this traditional method is very tedious and time-consuming. The accuracy of it depends on the operator's expertise. There are laser based cytometers used in laboratories. These advanced devices are costly and requires accurate hardware calibration. They also use actual blood samples. Thus there is always a need for a cost effective and robust automated system. The proposed system in this paper automatically counts the white blood cells, determine their sizes accurately and classifies them into five types such as basophil, lymphocyte, neutrophil, monocyte and eosinophil. The aim of the system is to help for diagnosing diseases. In our work, a new and completely automatic counting, segmentation and classification process is developed. The outputs of the system are the number of white blood cells, their sizes and types. [ABSTRACT FROM AUTHOR]
Copyright of Measurement (02632241) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 97190124
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Automatic segmentation, counting, size determination and classification of white blood cells.
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  Data: <searchLink fieldCode="JN" term="%22Measurement+%2802632241%29%22">Measurement (02632241)</searchLink>. Sep2014, Vol. 55, p58-65. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Digital+counters%22">Digital counters</searchLink><br /><searchLink fieldCode="DE" term="%22Leukocyte+count%22">Leukocyte count</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+size%22">Cell size</searchLink><br /><searchLink fieldCode="DE" term="%22Leukemia%22">Leukemia</searchLink><br /><searchLink fieldCode="DE" term="%22Cytometry%22">Cytometry</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+sampling%22">Blood sampling</searchLink>
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  Data: The counts, the so-called differential counts, and sizes of different types of white blood cells provide invaluable information to evaluate a wide range of important hematic pathologies from infections to leukemia. Today, the diagnosis of diseases can still be achieved mainly by manual techniques. However, this traditional method is very tedious and time-consuming. The accuracy of it depends on the operator's expertise. There are laser based cytometers used in laboratories. These advanced devices are costly and requires accurate hardware calibration. They also use actual blood samples. Thus there is always a need for a cost effective and robust automated system. The proposed system in this paper automatically counts the white blood cells, determine their sizes accurately and classifies them into five types such as basophil, lymphocyte, neutrophil, monocyte and eosinophil. The aim of the system is to help for diagnosing diseases. In our work, a new and completely automatic counting, segmentation and classification process is developed. The outputs of the system are the number of white blood cells, their sizes and types. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Measurement (02632241) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.measurement.2014.04.008
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        Text: English
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        StartPage: 58
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      – SubjectFull: Digital counters
        Type: general
      – SubjectFull: Leukocyte count
        Type: general
      – SubjectFull: Cell size
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      – SubjectFull: Leukemia
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      – SubjectFull: Cytometry
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      – SubjectFull: Blood sampling
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      – TitleFull: Automatic segmentation, counting, size determination and classification of white blood cells.
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              Text: Sep2014
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