Image Processing Approach for Detection of Leukocytes in Peripheral Blood Smears.

Peripheral blood smear analysis is a gold-standard method used in laboratories to diagnose many hematological disorders. Leukocyte analysis helps in monitoring and identifying health status of a person. Segmentation is an important step in the process of automation of analysis which would reduce the...

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Publicado en:Journal of Medical Systems Vol. 43; no. 5
Autores principales: Hegde, Roopa B., Prasad, Keerthana, Hebbar, Harishchandra, Singh, Brij Mohan Kumar
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature May2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
      vid: 43
      iid: 5
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      pub: Springer Nature
      place: New York, New York
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        136129195
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        10.1007/s10916-019-1219-3
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        atl: Image Processing Approach for Detection of Leukocytes in Peripheral Blood Smears.
      aug:
        au:
          Hegde, Roopa B.
          Prasad, Keerthana
          Hebbar, Harishchandra
          Singh, Brij Mohan Kumar
        affil: School of Information Sciences, MAHE, Manipal, India
      sug:
        subj:
          Blood Analysis
          Cell Nucleus
          Cell Separation Methods
          Leukocytes Classification
          Image Processing, Computer Assisted Methods
          Automation
          Human
          Sensitivity and Specificity
          Descriptive Statistics
          Staining and Labeling
          Hematology
          Laboratories
          India
          Microscopy Equipment and Supplies
          Image Processing, Computer Assisted Evaluation
          Mathematics
          Image Enhancement Methods
      ab: Peripheral blood smear analysis is a gold-standard method used in laboratories to diagnose many hematological disorders. Leukocyte analysis helps in monitoring and identifying health status of a person. Segmentation is an important step in the process of automation of analysis which would reduce the burden on hematologists and make the process simpler. The segmentation of leukocytes is a challenging task due to variations in appearance of cells across the slide. In the proposed study, an automated method to detect nuclei and to extract leukocytes from peripheral blood smear images with color and illumination variations is presented. Arithmetic and morphological operations are used for nuclei detection and active contours method is for leukocyte detection. The results demonstrate that the proposed method detects nuclei and leukocytes with Dice score of 0.97 and 0.96 respectively. The overall sensitivity of the method is around 96%.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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