Image Segmentation Using an Adaptive Clustering Technique for the Detection of Acute Leukemia Blood Cells Images

@article{Jabar2013ImageSU,
  title={Image Segmentation Using an Adaptive Clustering Technique for the Detection of Acute Leukemia Blood Cells Images},
  author={Farah H. A. Jabar and Waidah Ismail and Rosalina Abdul Salam and Rosaline Hassan},
  journal={2013 International Conference on Advanced Computer Science Applications and Technologies},
  year={2013},
  pages={373-378}
}
Clustering is one of the most common automated image segmentation techniques used in many fields including machine learning, pattern recognition, image processing, and bioinformatics. Recently many scientists have performed tremendous research in helping the hematologists in the issue of segmenting the blood cells in the early of prognosis. This paper aims to segment the blood cell images of patients suffering from acute leukemia using an adaptive K-Means clustering together with mean shift… CONTINUE READING

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