SYSTEM OF AUTOMATIC MICROSCOPIC ANALYSIS OF BIOMATERIALS FOR DIAGNOSTICS OF ONCOLOGICAL PATHOLOGIES USING TRAINED NEURAL NETWORKS AND TELEMEDICAL CONSULTATIONS-Reference-Cited by-同舟云学术

SYSTEM OF AUTOMATIC MICROSCOPIC ANALYSIS OF BIOMATERIALS FOR DIAGNOSTICS OF ONCOLOGICAL PATHOLOGIES USING TRAINED NEURAL NETWORKS AND TELEMEDICAL CONSULTATIONS

Published:2019-06-08 Issue:5 Volume: Page:76-81
ISSN:2218-5453
Container-title:Issues of radio electronics
language:
Short-container-title:Voprosy radioèlektroniki

Author:

Kucherov Yu. S.¹,Lobanov V. N.¹,Medovy V. S.²,Cheldiev M. I.³,Chuchkalov P. B.⁴

Affiliation:

1. M. A. Kartsev Computing System Research and Development Institute (NIIVK, JSC)

2. Medical  Computing  Systems  (MECOS)  LLC.

3. M. A. Kartsev Computing System Research and Development Institute (NIIVK, JSC)

4. DOLOMANT  JSC

Abstract

Labor intensity, complexity of morphology, the shortage of qualified specialists do not allow full use of the diagnostic potential of microscopic analysis of biomaterials in mass population surveys. The article discusses the technology of creating an Automatic Scan Microscope Analyzer of Oncological Pathologies (ASMAOP) that uses neural network learning during regular telemedicine consultations with expert evaluation of digital copies of biomaterials produced by a scanning microscope. The scheme of work of ASMAOP in the composition of a telemedicine network, hardware solutions including platform for deep learning are considered. The purpose of creation of ASMAOP is to perform microscopic analyses at the level of the experienced experts with a significant advantage in performance and availability.

Publisher

CRI Electronics

Subject

General Medicine

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