Reprojection-Based Numerical Measure of Robustness for CT Reconstruction Neural Network Algorithms

In computed tomography, state-of-the-art reconstruction is based on neural network (NN) algorithms. However, NN reconstruction algorithms can be not robust to small noise-like perturbations in the input signal. A not robust NN algorithm can produce inaccurate reconstruction with plausible artifacts...

詳細記述

書誌詳細

出版年:	Mathematics
主要な著者:	Aleksandr Smolin, Andrei Yamaev, Anastasia Ingacheva, Tatyana Shevtsova, Dmitriy Polevoy, Marina Chukalina, Dmitry Nikolaev, Vladimir Arlazarov
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-11-01
主題:	robustness neural network computed tomography
オンライン･アクセス:	https://www.mdpi.com/2227-7390/10/22/4210