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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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Principais autores: Mohamad Reza Abbasi, Saeed Kermani, Ardeshir Talebi
Formato: Artigo
Idioma:Persa
Publicado em: Isfahan University of Medical Sciences 2017-07-01
coleção:مجله دانشکده پزشکی اصفهان
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Acesso em linha:http://jims.mui.ac.ir/index.php/jims/article/view/7831
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