Accurate automatic detection of acute lymphatic leukemia using a refined simple classification

Author:

Al‐Tahhan F. E.1ORCID,Fares M. E.1,Sakr Ali A.2,Aladle Doaa A.3

Affiliation:

1. Mathematics Department, Faculty of ScienceMansoura University Mansoura Egypt

2. Computers and Automatic Control Engineering Department, Faculty of EngineeringKFS University Kafr Elsheikh Egypt

3. Clinical Pathology Department, Faculty of MedicineMansoura University Mansoura Egypt

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Reference37 articles.

1. ANN as a tool for medical prognosis

2. Improved image segmentation algorithms for detecting types of acute lymphatic leukaemia

3. Recognition of acute lymph‐oblastic leukemia cells in microscopic images using k‐means clustering and support vector machine classifier;Amin M. M.;Journal of Medical Signals and Sensors.,2015

4. Theory of Classification: a Survey of Some Recent Advances

5. Analysis of blood samples for counting leukemia cells using Support vector machine and nearest neighbour

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