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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 |
Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency Deep Learning for Improving Image Quality with Uneven Illumination Images Improving Image Quality Using Deep Learning Based Super Resolution 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). 2022; Copyright Contents Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods. 2022;v-xii Index Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods. 2023;271-285 Robust Image Enhancement Title page Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods. 2023;i-iii Deep learning for improving the image quality of elastic seismic data Image-Enhancement-Based Data Augmentation for Improving Deep Learning in Image Classification Problem |
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. |