In this paper, the Convolutional Neural Network (CNN) based U-Net structure is used to improve the quality of images reconstructed by ECT. Firstly, about 60,000 ...
Big Data driven U-Net based Electrical Capacitance Image ... - IEEE Xplore
ieeexplore.ieee.org › iel7
The preliminary results show that the image reconstruction results obtained by the U-Net network are much better than that of the fully connected neural network ...
Jun 18, 2024 · The core of EIT inverse problem is to reconstruct the accurate conductivity distributions and clear boundary shape of the observation domain ...
Big Data driven U-Net based Electrical Capacitance Image ... - CoLab
colab.ws › IST48021.2019.9010423
In this paper, the Convolutional Neural Network (CNN) based U-Net structure is used to improve the quality of images reconstructed by ECT. Firstly, about 60,000 ...
In order to acquire improved ECT reconstruction method that can increase spatial resolution and reduce the image errors, this study proposes an ECT imaging ...
Missing: Big U-
Sep 9, 2023 · Then, U-Net-based ANN is used to enhance the result of the initial reconstruction and obtain the final image. Training ANN to reconstruct images ...
Jun 5, 2024 · Yang et al. Big data driven U-net based electrical capacitance image reconstruction algorithm. IEEE International Conference on Imaging ...
ECT technology attempts to reconstruct the permittivity distribution of the cross-section via an appropriate reconstruction algorithm from the capacitance ...
The proposed image reconstruction algorithm mainly uses Long Short-Term Memory (LSTM) deep neural network, which is abbreviated as LSTM-IR algorithm. A big ...
Jul 3, 2021 · Image reconstruction in the ECT system has been developed using a deep learning algorithm with a big dataset based on moveable sensors [17].
Missing: U- | Show results with:U-