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Automated Counting of Platelets and White Blood Cells from Blood Smear Images

  • Lipi B. MahantaEmail author
  • Kangkana Bora
  • Sourav Jyoti Kalita
  • Priyangshu Yogi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11942)

Abstract

Platelet Detection and Count are one of the major analysis of the pathological test of the blood. Conventional methods of analysis involve observation of blood smear samples under the microscope and manually identifying and counting the numbers. This process is slow and tedious. This work presents a method to automatically detect and count the number of platelets. A sample size of 270 images collected indigenously is used for carrying out the experiments with the proposed methodology, which result in an accuracy of 95.59% for platelets and 100% for WBCs respectively.

Keywords

Platelet WBC Segmentation Counting Binary thresholding Morphological operation 

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.CCNS, IASSTGuwahatiIndia
  2. 2.Department of Electronics and Electrical EngineeringIndian Institute of TechnologyGuwahatiIndia
  3. 3.Department of Computer Science and EngineeringAssam Engineering CollegeGuwahatiIndia

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