International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 8  (August 2017), Pages:  74-78

Title: Detection of acute lymphoblastic leukemia using microscopic images of blood

Author(s):  Raju Bhukya *, B. Prasanth, V. Sasank Vihari, Y. Ajay

Affiliation(s):

Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India

https://doi.org/10.21833/ijaas.2017.08.011

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Abstract:

Leukemia is a group of cancers that usually begin in the bone marrow and result in high number of abnormal white blood cells. Detection of leukaemia in early stages is necessary as this can reduce the rate of mortality and may lead to death. In a manual method of leukaemia detection Haematologists analyze the microscopic images and decide the severity. This is lengthy, cost effective and time taking process which depends on person’s expertise and may not lead to standard accuracy. Till date, a number of methods have been proposed for this Leukaemia detection using Image Processing. Unlike the previous methods, which solely depend upon the entire cell, in this paper we proposed a new method to separate the cell Nucleus from Cytoplasm to obtain more features. The proposed method achieves the better accuracy when compared to the other existing methods. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Leukemia, Leukocyte, Microscopic image, Segmentation, Nucleus, Cytoplasm

Article History: Received 19 March 2017, Received in revised form 1 July 2017, Accepted 5 July 2017

Digital Object Identifier: 

https://doi.org/10.21833/ijaas.2017.08.011

Citation:

Bhukya R, Prasanth B, Vihari VS,  and Ajay Y (2017). Detection of acute lymphoblastic leukemia using microscopic images of blood. International Journal of Advanced and Applied Sciences, 4(8): 74-78

http://www.science-gate.com/IJAAS/V4I8/Bhukya.html

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