Title :
Acute lymphoblastic leukemia diagnosis using image processing techniques
Author :
Selcuk, Osman ; Ozen, Figen
Author_Institution :
Elektrik-Elektron. Muhendisligi Bolumu, HALIC Univ., İstanbul, Turkey
Abstract :
An efficient image processing algorithm for the classification of acute lymphoblastic leukemia (ALL) cells has been designed. ALL is encountered especially on children and has a high chance of treatment, yet may lead to death if not treated. The preprocessing part of the algorithm employs the Wavelet Transform technique and the classification is done using Support Vector Machines (SVMs). The results have been analyzed statistically by means of a Confusion Matrix. The rate of success has been found as 96,43%.
Keywords :
cancer; image classification; medical image processing; support vector machines; wavelet transforms; ALL; Confusion Matrix; SVM; acute lymphoblastic leukemia cells; acute lymphoblastic leukemia diagnosis; classification; image processing algorithm; image processing techniques; support vector machines; wavelet transform technique; Computers; Image segmentation; Microscopy; Multiresolution analysis; Robots; Wavelet Transform; acute lymphoblastic leukemia; support vector machines;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129950
