Abstract

The paper is about the development of a computer system for the white blood cells images classification. Solving the leukocytes classification task makes it possible to diagnose not only the blood diseases, but also a wide range of other diseases, as well as to evaluate the overall state of a person’s health. Modern leukocytes classification methods have a fairly large number of shortcomings, which make a problem of finding the most effective method as a tool to solve this task. In our computer system we use the method based on using a trained convolutional neural network as a binary classifier for the leukocytes classification. This study shows the advantages of using this architecture and a deep learning technology to solve the objects classification task in medical digital images. The developed system allows one, in most cases, correctly and with a high speed to determine whether the white blood cell belongs to one of the two classes, which indicates to the possibility of using this system as an auxiliary tool for the blood hematological analysis.

Highlights

  • One of the most dangerous common diseases is leukemia, which is known as "blood cancer" [13]

  • The paper is about the development of a computer system for the white blood cells images classification

  • This study shows the advantages of using this architecture and a deep learning technology to solve the objects classification task in medical digital images

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Summary

Introduction

One of the most dangerous common diseases is leukemia, which is known as "blood cancer" [13]. Without timely diagnosis and treatment, leukemia leads to a patient's death in less than six months [8]. For this reason, along with a general clinical blood test, a doctor prescribes the calculation and study of the leukocyte formula, which reflects the total concentration of leukocytes in the human blood and the percentage of their various types. Leukocytes, known as "white blood cells", are agents of the immune system. They perform a protective function against infections, bacteria and other foreign bodies can harm the body. The main leukocytes classification methods are the flow cytometry and the visual method [2, 3]

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