Reed Sternberg Cell Recognition in Hodgkin’s Lymphoma

A technique for the morphological diagnosis of Reed Sternberg cells in Hodgkin’s lymphoma using artificial neural networks is proposed. A flexible architecture of a software complex comprising several modules for automatic biopsy analysis is developed. These software modules, consisting of artificia...

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Bibliographic Details
Published in:Pattern recognition and image analysis 2020, Vol.30 (1), p.27-33
Main Authors: Punko, U. V., Volorova, N. A., Prikhodko, V. S.
Format: Article
Language:English
Subjects:
Artificial neural networks
Computer Science
Image Processing and Computer Vision
Lymphoma
Modules
Neural networks
Pattern Recognition
Software
Special Issue
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Summary:A technique for the morphological diagnosis of Reed Sternberg cells in Hodgkin’s lymphoma using artificial neural networks is proposed. A flexible architecture of a software complex comprising several modules for automatic biopsy analysis is developed. These software modules, consisting of artificial neural networks, are necessary for processing raw data. Various techniques for training neural networks under conditions of insufficient data for the current and similar problems are analyzed.
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661820010125