Hybrid Intelligent Models for Chest X-Ray Image Segmentation
- 作者: Filist S.A.1, Tomakova R.A.1, Degtyarev S.V.1, Rybochkin A.F.1
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隶属关系:
- South-West State University
- 期: 卷 51, 编号 5 (2018)
- 页面: 358-363
- 栏目: Article
- URL: https://ogarev-online.ru/0006-3398/article/view/235284
- DOI: https://doi.org/10.1007/s10527-018-9748-5
- ID: 235284
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详细
Hybrid intelligent systems allowing segments related to diagnosable diseases to be identified on chest X-ray films are presented. X-Rays were segmented by analysis of two-dimensional Fourier spectra with a sliding window. The spectrum of the sliding window was processed with sequential filters constructed on the basis of different image processing paradigms. An algorithm for tuning the filters of hybrid models is proposed, and results from segmentation of X-rays from patients with pneumonia are demonstrated.
作者简介
S. Filist
South-West State University
编辑信件的主要联系方式.
Email: sfilist@gmail.com
俄罗斯联邦, Kursk
R. Tomakova
South-West State University
Email: sfilist@gmail.com
俄罗斯联邦, Kursk
S. Degtyarev
South-West State University
Email: sfilist@gmail.com
俄罗斯联邦, Kursk
A. Rybochkin
South-West State University
Email: sfilist@gmail.com
俄罗斯联邦, Kursk
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