Analysis of blood samples for counting leukemia cells using Support vector machine and nearest neighbour

  • Chatap N
  • Shibu S
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Abstract

analysis of blood samples for counting leukemia cells is discussed in this paper. support vector machine and nearest neighbour concept is presented in this paper. The identification of blood disorders, it can lead to classification of certain diseases related to blood. Several classification techniques are investigated till today. One of the best methods for classification techniques nearest neighbour and SVM (Support Vector Machine).By identifying and counting blood cell within the blood smear using classification techniques it's quite possible to detect so many diseases. If one of the new classifier is used i.e. nearest neighbour and SVM it is quiet possible to detect the cancer cell from the blood cell counting.

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APA

Chatap, N., & Shibu, S. (2014). Analysis of blood samples for counting leukemia cells using Support vector machine and nearest neighbour. IOSR Journal of Computer Engineering, 16(5), 79–87. https://doi.org/10.9790/0661-16537987

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