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Computer Optics, 2021, Volume 45, Issue 2, Pages 261–266
DOI: https://doi.org/10.18287/2412-6179-CO-793 (Mi co906) 		 
This article is cited in 5 scientific papers (total in 5 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images

A. A. Sludnovaa, V. V. Shutkoa, A. V. Gaidelba, P. M. Zelterc, A. V. Kapishnikovc, A. V. Nikonorovba

a Samara National Research University, Moskovskoye Shosse 34, 443086, Samara, Russia
b IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardeyskaya 151, 443001, Samara, Russia
c Samara State Medical University, Samara, Russia
Full-text PDF (927 kB) Citations (5)
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DOI: https://doi.org/10.18287/2412-6179-CO-793
Abstract: This article discusses an idea of a joint analysis of medical images and texts aimed at improving the quality of automated diagnosis of emphysema. We compare the quality of image classification with and without taking into account the localization of the pathology mentioned in radiological reports. The study was carried out on sets of real images of computed tomography of the lungs obtained in clinical studies at Samara State Medical University. It was established that the use of information on the localization of pathology contained in radiological reports leads to an increase in the F-score for the detection from 0.55 to 0.73.
Keywords: image processing, tomographic image processing, image analysis, Haralick’s features, image classification, radiological report, natural language processing.
Funding agency Grant number
Russian Foundation for Basic Research 19-29-01235 ìê
19-29-01135 ìê
Ministry of Science and Higher Education of the Russian Federation 007-ÃÇ/×3363/26
The work was partially funded by the Russian Foundation for Basic Research under grants No. 19-29-01235 and 19-29-01135 (theoretical results) and the RF Ministry of Science and Higher Education within the government project of the FSRC "Crystallography and Photonics" RAS No. 007-GZ/Ch3363/26 (numerical calculations).
Received: 05.07.2020
Accepted: 22.12.2020
Document Type: Article
Language: Russian
Citation: A. A. Sludnova, V. V. Shutko, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. V. Nikonorov, “Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images”, Computer Optics, 45:2 (2021), 261–266
Citation in format AMSBIB
\Bibitem{SluShuGai21}
\by A.~A.~Sludnova, V.~V.~Shutko, A.~V.~Gaidel, P.~M.~Zelter, A.~V.~Kapishnikov, A.~V.~Nikonorov
\paper Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images
\jour Computer Optics
\yr 2021
\vol 45
\issue 2
\pages 261--266
\mathnet{http://mi.mathnet.ru/co906}
\crossref{https://doi.org/10.18287/2412-6179-CO-793}
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    • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Computer Optics
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