ISSN: 2349-5162 | Impact Factor: 5.87

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Volume 4 Issue 11
eISSN: 2349-5162

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Detection of Leukemia Using Image Processing

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In a manual method of leukemia detection, experts check the microscopic images. This is lengthy and time taking process which depends on person’s skill and not having a standard accuracy. In this proposed approach of leukemia detection process Image j is a tool which is used here for understanding the process of entire detection. And this tool has an in built procedure for pre-processing and segmentation. Using this tool there is a facility of converting RGB image to gray colour image and converting grey colour image to binary image directly. In this tool installing macros for each step facilitates the process of detection of leukaemia. Macros may be in java or python or mat lab or Inbuilt macros. In this process using cell count and some other parameters like area and perimeter leukemia can be detected and can classify whether it is ALL (or) CLL (or)Not.

Key Words

leukemia, segmentation, CLL, ALL, Thresholding

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"Detection of Leukemia Using Image Processing", International Journal of Emerging Technologies and Innovative Research ( | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp123-127, November-2017, Available at : &

Publication Details

Published Paper ID: JETIR1711021
Registration ID: 170829
Published In: Volume 4 | Issue 11 | Year November-2017
DOI (Digital Object Identifier):
Page No: 123-127
ISSN Number: 2349-5162

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UGC and ISSN Approved Journal | Call For Paper
(Volume 5 | Issue 1 | January 2018 |Impact factor 5.87)

Call For Paper | Volume 5 | Issue 1 | Impact factor 5.87

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