Estimation of lung standing size with the application of computer vision algorithms-Reference-Cited by-同舟云学术

Estimation of lung standing size with the application of computer vision algorithms

Published:2020-12-17 Issue:4 Volume:89 Page:87-94
ISSN:2710-1487
Container-title:Experimental and Clinical Medicine
language:uk
Short-container-title:ECM

Author:

Bunin Y.V.¹^ORCID,Vakulik E.V.²^ORCID,Mikhaylusov R.N.³^ORCID,Negoduyko V.V.¹^ORCID,Smelyakov K.S.²^ORCID,Yasinsky O.V.¹^ORCID

Affiliation:

1. Military Medical Clinical Center of the Northern Region of the Ministry of Defense of Ukraine, Kharkiv, Ukraine

2. Kharkiv National University of Radio Electronics, Ministry of Education and Science of Ukraine, Kharkiv, Ukraine

3. Kharkiv Medical Academy of Postgraduate Education, Ministry of Education and Science of Ukraine, Kharkiv, Ukraine

Abstract

Evaluation of spiral computed tomography data is important to improve the diagnosis of gunshot wounds and the development of further surgical tactics. The aim of the work is to improve the results of the diagnosis of foreign bodies in the lungs by using computer vision algorithms. Image gradation correction, interval segmentation, threshold segmentation, three-dimensional wave method, principal components method are used as a computer vision device. The use of computer vision algorithm allows to clearly determine the size of the foreign body of the lung with an error of 6.8 to 7.2%, which is important for in-depth diagnosis and development of further surgical tactics. Computed vision techniques increase the detail of foreign bodies in the lungs and have significant prospects for the use of spiral computed tomography for in-depth data processing. Keywords: computer vision, spiral computed tomography, lungs, foreign bodies.

Publisher

Kharkiv National Medical University

Subject

General Earth and Planetary Sciences,General Environmental Science

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