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Research of textural features for the diagnostics of nephrological diseases using ultrasound images
- Authors: Gaidel A.V.1, Larionova S.N.2, Khramov A.G.1
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Affiliations:
- Samara State Aerospace University
- Samara State Medical University
- Issue: Vol 13, No 1 (2014)
- Pages: 229-237
- Section: CONTROL, COMPUTER SCIENCE AND INFORMATION SCIENCE
- URL: https://journals.ssau.ru/vestnik/article/view/1717
- DOI: https://doi.org/10.18287/1998-6629-2014-0-1(43)-229-237
- ID: 1717
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Abstract
A method of automated diagnostics of kidney diseases using ultrasound images is proposed. The efficiency of different groups of information features of such images for the task of recognition is analyzed. According to the data of a number of experiments on real data the group of two Haralick’s features showed the best result. The estimation of probability of wrong recognition for that group was 0.06. Spectral correlation features also demonstated high efficiency, the estimation of the latter for them being 0.10.
About the authors
A. V. Gaidel
Samara State Aerospace University
Author for correspondence.
Email: andrey.gaidel@gmail.com
Postgraduate student
Technical Cybernetics Department
Russian FederationS. N. Larionova
Samara State Medical University
Email: larionovasn@gmail.com
Senior Laboratory Assistant
Department of Operative Surgery and Clinical Anatomy with a Course on Innovation Technologies
Russian FederationA. G. Khramov
Samara State Aerospace University
Email: khramov@smr.ru
Doctor of Science (Engineering), Professor
Technical Cybernetics Department
Russian FederationReferences
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