Proceedings of the Conference on Health and Wellbeing in Modern Society (CHW 2021)

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Study of the Morphology of Erythrocytes in Patients with Cervical Cancer: A Technique for Machine Recognition of the Shapes and Sizes of Erythrocytes SEM Images

Authors
S.N. Mamaeva1, *, O.A. Semenov1, I.V. Kononova2, A.R. Ermolaev1, 3, V.V. Gerasimova1, 3, G.V. Maksimov4, 5
1Ammosov North-East Federal University, Yakutsk, Russia
2Yakut scientific center of complex medical problems, Yakutsk, Russia
3State Budgetary Institution of the Republic of Sakha (Yakutia) Blood Transfusion Station, Yakutsk, Russia
4Lomonosov Moscow State University (Moscow, Russia)
5National Research Technological University MISiS (Moscow, Russia)
*Corresponding author. Email: sn.mamaeva@s-vfu.ru
Corresponding Author
S.N. Mamaeva
Available Online 17 January 2022.
DOI
10.2991/ahsr.k.220103.028How to use a DOI?
Keywords
erythrocytes; cervical cancer; machine recognition technique; scanning electron microscope; SEM
Abstract

The aim of the study is to develop a technique for machine recognition of the shapes and sizes of scanning electron microscope (SEM) images of erythrocytes of patients with cervical cancer (CC) obtained on a SEM during radiation therapy (RT). The article considers the study of the morphology of erythrocytes of patients with CC who were underwent RT using machine image recognition methods based on images of erythrocytes obtained by SEM. It is shown that the use of this method already at the beginning of RT allows us to observe significant changes in the morphology of red blood cells of patients with cervical cancer, while the use the method of JMicroVision v1.2.7 states a slight difference of the diameters of red blood cells in the normal and pathological on the basis of the same experimental data. This paper presents for the first time a method for studying the morphology of erythrocytes in patients with cancer based on SEM images of erythrocytes. The presented automated program can recognize erythrocytes, calculate their number, diameters, areas, taking into account changes in morphology both in normal and pathological conditions, can work with a large amount of data with a significant acceleration of the calculation of parameters and with a greater approximation of these data to real ones, which significantly increases the efficiency of analysis in research, in the diagnosis and monitoring of therapy for CC and other types of diseases. In addition, these developments can help to increase the scope of scanning electron microscopes for solving a wide range of problems in medicine related to images in the field of diagnostics – medical introscopy.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the Conference on Health and Wellbeing in Modern Society (CHW 2021)
Series
Advances in Health Sciences Research
Publication Date
17 January 2022
ISBN
978-94-6239-513-8
ISSN
2468-5739
DOI
10.2991/ahsr.k.220103.028How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - S.N. Mamaeva
AU  - O.A. Semenov
AU  - I.V. Kononova
AU  - A.R. Ermolaev
AU  - V.V. Gerasimova
AU  - G.V. Maksimov
PY  - 2022
DA  - 2022/01/17
TI  - Study of the Morphology of Erythrocytes in Patients with Cervical Cancer: A Technique for Machine Recognition of the Shapes and Sizes of Erythrocytes SEM Images
BT  - Proceedings of the Conference on Health and Wellbeing in Modern Society (CHW 2021)
PB  - Atlantis Press
SP  - 138
EP  - 142
SN  - 2468-5739
UR  - https://doi.org/10.2991/ahsr.k.220103.028
DO  - 10.2991/ahsr.k.220103.028
ID  - Mamaeva2022
ER  -