X-Ray Image Analysis for the Neural Network-Based Detection of Pathology

R. Sh. Minyazev; A. A. Rumyantsev; S. A. Dyganov; A. A. Baev

doi:10.3103/S1062873818120134

X-Ray Image Analysis for the Neural Network-Based Detection of Pathology

Autores: Minyazev R.S.¹, Rumyantsev A.A.¹, Dyganov S.A.¹, Baev A.A.²
Afiliações:
1. Kazan National Research Technical University
2. Volga State University of Technology
Edição: Volume 82, Nº 12 (2018)
Páginas: 1529-1531
Seção: Article
URL: https://journals.rcsi.science/1062-8738/article/view/186910
DOI: https://doi.org/10.3103/S1062873818120134
ID: 186910

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Resumo

A neural network-based way of analyzing X-ray images for detecting pathology in lung tissue is proposed. A software module is developed in the Python programming language using the TensorFlow library to produce a neural network. The performance of the neural network is analyzed.