Post-processing for Thorax Imaging based on Electrical Impedance Tomography using Deep Learning-Reference-Cited by-同舟云学术

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Post-processing for Thorax Imaging based on Electrical Impedance Tomography using Deep Learning

Published:2022-05-06 Issue: Volume: Page:
ISSN:
Container-title:2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)
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Author:

Haddad Hamdi¹,Hafsa Mariem²,Bader Oumaima²,Ben Amara Najoua Essoukri²,Kanoun Olfa³

Affiliation:

1. University of Sousse,National Engineering School of Sousse,Computer Engineering Department,Sousse,Tunisia

2. Université de Sousse,Ecole Nationale d'Ingénieurs de Sousse, LATIS- Laboratory of Advanced Technology and Intelligent Systems,Sousse,Tunisie,4023

3. Professorship of Measurement and Sensor Technology,Technische Universität Chemnitz,Chemnitz,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9955493/9955494/09955888.pdf?arnumber=9955888

Reference13 articles.

1. An experimental study in electrical impedance tomography using backprojection reconstruction

2. Comparison of Fully Convolutional Networks (FCN) and U-Net for Road Segmentation from High Resolution Imageries

3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D Geometry Design of the Human Thorax and Forward Calculation for Electrical Impedance Tomography;2023 20th International Multi-Conference on Systems, Signals & Devices (SSD);2023-02-20

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