Classification of blasts in acute leukemia blood samples using k-nearest neighbour
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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my.unimap-265242014-06-27T09:47:34Z Classification of blasts in acute leukemia blood samples using k-nearest neighbour Nadiatun Zawiyah, Supardi Mohd Yusoff, Mashor, Prof. Madya Dr. Nor Hazlyna, Harun Fatimatul Anis, Bakri Rosline, Hassan, Dr. nadiatun@gmail.com yusoff@unimap.edu.my hazlyna_harun@yahoo.com fatimatulanis@yahoo.com.my roslinehassan@gmail.com Acute leukemia Classification K-nearest neighbour Link to publisher's homepage at http://ieeexplore.ieee.org/ The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for classification problems. Even so, results obtained through k-NN had been promising in many different fields. Therefore, this paper presents the study on blasts classifying in acute leukemia into two major forms which are acute myelogenous leukemia (AML) and acute lymphocytic leukemia (ALL) by using k-NN. 12 main features that represent size, color-based and shape were extracted from acute leukemia blood images. The k values and distance metric of k-NN were tested in order to find suitable parameters to be applied in the method of classifying the blasts. Results show that by having k 4 and applying cosine distance metric, the accuracy obtained could reach up to 80%. Thus, k-NN is applicable in the classification problem. 2013-07-09T04:11:59Z 2013-07-09T04:11:59Z 2012-03-23 Working Paper p. 461-465 978-146730961-5 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6194769 http://hdl.handle.net/123456789/26524 en Proceedings of the International Colloquium on Signal Processing and Its Applications (CSPA 2012) Institute of Electrical and Electronics Engineers (IEEE) |
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English |
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Acute leukemia Classification K-nearest neighbour |
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Acute leukemia Classification K-nearest neighbour Nadiatun Zawiyah, Supardi Mohd Yusoff, Mashor, Prof. Madya Dr. Nor Hazlyna, Harun Fatimatul Anis, Bakri Rosline, Hassan, Dr. Classification of blasts in acute leukemia blood samples using k-nearest neighbour |
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Link to publisher's homepage at http://ieeexplore.ieee.org/ |
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nadiatun@gmail.com |
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nadiatun@gmail.com Nadiatun Zawiyah, Supardi Mohd Yusoff, Mashor, Prof. Madya Dr. Nor Hazlyna, Harun Fatimatul Anis, Bakri Rosline, Hassan, Dr. |
| format |
Working Paper |
| author |
Nadiatun Zawiyah, Supardi Mohd Yusoff, Mashor, Prof. Madya Dr. Nor Hazlyna, Harun Fatimatul Anis, Bakri Rosline, Hassan, Dr. |
| author_sort |
Nadiatun Zawiyah, Supardi |
| title |
Classification of blasts in acute leukemia blood samples using k-nearest neighbour |
| title_short |
Classification of blasts in acute leukemia blood samples using k-nearest neighbour |
| title_full |
Classification of blasts in acute leukemia blood samples using k-nearest neighbour |
| title_fullStr |
Classification of blasts in acute leukemia blood samples using k-nearest neighbour |
| title_full_unstemmed |
Classification of blasts in acute leukemia blood samples using k-nearest neighbour |
| title_sort |
classification of blasts in acute leukemia blood samples using k-nearest neighbour |
| publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| publishDate |
2013 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/26524 |
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1643794973206773760 |