Diagnosis of Leukemia Cell from Microscope Images Based on Wavelet Transforms

Research Area: Volume 6,Issue 5, Sept. 2017 Year: 2017
Type of Publication: Article Keywords: Leukemia Cell, Wavelet Transforms, Support Vector Machine and Confusion Matrix
Authors:
  • AKRAM. KH. SAID. GIHEDAN
  • SALMA. M. BOUBAKAR KHALIFA. ALBARGATHE
  • JAVAD. RAHEBI
  • GOKSAL. BILGICI
Journal: IJEIR Volume: 6
Number: 5 Pages: 212-216
Month: September
ISSN: 2277-5668
Abstract:
In this study, an efficient image processing algorithm is designed to recognize acute lymphocyte leukemia (ALL) cells, which are more common in children, have a high chance of treatment and can result in death if untreated. SVM (Support Vector Machine) is used as the method. Pre-processed with Wavelet Transform. The results were statistically analyzed with the help of Confusion Matrix. The rate of success was found to be 93.92%

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