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   Recognition of Acute Lymphoblastic Leukemia Cells in Microscopic Images Using K‑Means Clustering and Support Vector Machine Classifier  
   
نویسنده Moradi Amin Morteza ,Kermani Saeed ,Talebi Ardeshir ,Ghelich Oghli Mostafa
منبع journal of medical signals and sensors - 2015 - دوره : 5 - شماره : 1 - صفحه:49 -58
چکیده    Acute lymphoblastic leukemia is the most common form of pediatric cancer which is categorized into three l1, l2, and l3 and could bedetected through screening of blood and bone marrow smears by pathologists. due to being time consuming and tediousness of theprocedure, a computer based system is acquired for convenient detection of acute lymphoblastic leukemia. microscopic images areacquired from blood and bone marrow smears of patients with acute lymphoblastic leukemia and normal cases. after applying imagepreprocessing, cells nuclei are segmented by k means algorithm. then geometric and statistical features are extracted from nuclei andfinally these cells are classified to cancerous and noncancerous cells by means of support vector machine classifier with 10 fold crossvalidation. these cells are also classified into their sub types by multi support vector machine classifier. classifier is evaluated by theseparameters: sensitivity, specificity, and accuracy which values for cancerous and noncancerous cells 98%, 95%, and 97%, respectively.these parameters are also used for evaluation of cell sub types which values in mean 84.3%, 97.3%, and 95.6%, respectively. theresults show that proposed algorithm could achieve an acceptable performance for the diagnosis of acute lymphoblastic leukemia ands sub types and can be used as an assistant diagnostic tool for pathologists.
کلیدواژه Acute lymphoblastic leukemia recognition ,hue ,saturation ,value color space ,k means clustering ,multiclass support vector machines classifier ,nuclei segmentation
آدرس isfahan university of medical sciences, ایران, isfahan university of medical sciences, ایران, isfahan university of medical sciences, ایران, isfahan university of medical sciences, ایران
 
     
   
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