Diagnosis of Leukemia Cell from Microscope Images Based on Wavelet Transforms
Research Area: | Volume 6,Issue 5, Sept. 2017 | Year: | 2017 |
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Type of Publication: | Article | Keywords: | Leukemia Cell, Wavelet Transforms, Support Vector Machine and Confusion Matrix |
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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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