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Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
Jonghyon Yi, Ho Kyung Kang, Jae-Hyun Kwon, Kang-Sik Kim, Moon Ho Park, Yeong Kyeong Seong, Dong Woo Kim, Byungeun Ahn, Kilsu Ha, Jinyong Lee, Zaegyoo Hah, Won-Chul Bang
Ultrasonography. 2021;40(1):7-22.   Published online 2020 September 14    DOI: https://doi.org/10.14366/usg.20102

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Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
Ultrasonography. 2021;40(1):7-22   Crossref logo
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Deep Learning for Improving Image Quality with Uneven Illumination Images
2020 International Conference on Fuzzy Theory and Its Applications (iFUZZY). 2020;   Crossref logo
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Improving Image Quality Using Deep Learning Based Super Resolution
2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). 2022;   Crossref logo
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Copyright
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods. 2023;iv   Crossref logo
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Contents
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods. 2022;v-xii   Crossref logo
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Index
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods. 2023;271-285   Crossref logo
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Robust Image Enhancement
Deep Reinforcement Learning. 2020;379-389   Crossref logo
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Title page
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods. 2023;i-iii   Crossref logo
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Deep learning for improving the image quality of elastic seismic data
. 2023;   Crossref logo
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Image-Enhancement-Based Data Augmentation for Improving Deep Learning in Image Classification Problem
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan). 2020;   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Ultrasonography has participated in CrossRef Text and Data Mining service since October 29, 2014.