Analysis of the effectiveness of two different loss functions in training a neural network in lung image reconstruction using impedance tomography

The article presents research findings on developing a medical diagnostic system based on electrical impedance tomography technology. One of the key components of this project is developing a method for reconstructing the structure of human lungs using this technology. The authors of the article com...

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Veröffentlicht in:	Journal of Modern Science Jg. 57; H. 3; S. 594 - 608
Hauptverfasser:	Lalak-Dybała, Małgorzata, Stefaniak, Barbara, Olszewski, Paweł
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Wydawnictwo Akademii Nauk Stosowanych WSGE im. A. De Gasperi w Józefowie 2024 WSGE University of Applied Sciences in Józefów Publishing House Akademia Nauk Stosowanych WSGE im. A. De Gasperi w Józefowie
Schlagworte:	convolutional neural network Economy electrical impedance tomography lung reconstruction neural network with encoder-decoder architecture resnet Electrical impedance tomography Lung reconstruction convolutional neural network neural network with encoderdecoder architecture ResNet
ISSN:	1734-2031, 2391-789X
Online-Zugang:	Volltext
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