A Novel and More Efficient Approach for Automatic Diagnosis of Acute Lymphoblastic Leukemic Cells based on Combining Geometrical and Statistical Features of Blood Cells

Background: Acute lymphoblastic leukemia (ALL) is one of the most common types of leukemia among children. Due to the large number of clinical laboratories, in those with no expert pathologist for diagnosis of leukemia, software can be a useful tool for diagnostic purposes. The aim of this study was...

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Bibliographic Details

Published in:	مجله دانشکده پزشکی اصفهان
Main Authors:	Mohamad Reza Abbasi, Saeed Kermani, Ardeshir Talebi
Format:	Article
Language:	Persian
Published:	Isfahan University of Medical Sciences 2017-07-01
Subjects:	Acute lymphoblastic leukemia (ALL) Chaos Support vector machine Pattern recognition
Online Access:	http://jims.mui.ac.ir/index.php/jims/article/view/7831