An Image Post-Processing Approach Based on Fully Dense U-Net for Microwave Induced Thermo-Acoustic Tomography
Author:
Affiliation:
1. Yunnan Key Laboratory of Computer Technologies Application, Kunming University of Science and Technology, Kunming, China
Funder
Fundamental Research Project of Yunnan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation
Link
http://xplorestaging.ieee.org/ielx7/7397573/10048702/09964341.pdf?arnumber=9964341
Reference33 articles.
1. Fully dense unet for 2-d sparse photoacoustic tomography artifact removal;steven;IEEE J Biomed Health Informat,2019
2. Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning
3. Reconstruct the Photoacoustic Image Based On Deep Learning with Multi-frequency Ring-shape Transducer Array
4. Reconstruction of initial pressure from limited view photoacoustic images using deep learning;dominik;SPIE,2018
5. AN INTEGRATED SIMULATION APPROACH AND EXPERIMENTAL RESEARCH ON MICROWAVE INDUCED THERMO-ACOUSTIC TOMOGRAPHY SYSTEM
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1. Emerging paradigms in microwave imaging technology for biomedical applications: unleashing the power of artificial intelligence;npj Imaging;2024-06-03
2. Deep-Learning-Based Microwave-Induced Thermoacoustic Tomography Applying Realistic Properties of Ultrasound Transducer;IEEE Transactions on Microwave Theory and Techniques;2024
3. A one-step method for quantitative microwave-induced thermoacoustic tomography;Journal of X-Ray Science and Technology;2023-07-13
4. Biomedical Microwave-induced Thermoacoustic Imaging;Acta Physica Sinica;2023
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