Open AccessClassification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia
Author(s) -
V G Nikitayev,
А. Н. Проничев,
Н. Н. Тупицин,
V. Yu. Sel’chuk,
V. V. Dmitrieva,
А. Д. Палладина,
E. V. Polyakov,
Kirill A. Liberis,
M Dzhokich,
М. А. Соломатин,
E M Nosova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2058/1/012043
Subject(s) - lymphoblastic leukemia , bone marrow , minimal residual disease , medicine , pathology , leukemia , residual , computer science , immunology , algorithm
The paper presents approaches to automated classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia and minimal residual disease using image recognition procedures. The classification methods that show the best accuracy in the recognition of eight types of bone marrow cells were experimentally determined. Recommendations for their use are given.