- Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
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Yi J, Kang HK, Kwon JH, Kim KS, Park MH, Seong YK, Kim DW, Ahn B, Ha K, Lee J, Hah Z, Bang WC
- KMID: 2511607
- Ultrasonography.
- 2021 Jan;40(1):7-22.
- doi: 10.14366/usg.20102
In this review of the most recent applications of deep learning to ultrasound imaging, the architectures of deep learning networks are briefly explained for the medical imaging applications of classification,... -
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- Usefulness of Virtual Expiratory CT Images to Compensate for Respiratory Liver Motion in Ultrasound/CT Image Fusion: A Prospective Study in Patients with Focal Hepatic Lesions
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Kang TW, Lee MW, Cha DI, Park HJ, Park JS, Bang WC, Kim SW
- KMID: 2438253
- Korean J Radiol.
- 2019 Feb;20(2):225-235.
- doi: 10.3348/kjr.2018.0320
OBJECTIVE: To assess whether virtual expiratory (VE)-computed tomography (CT)/ultrasound (US) fusion imaging is more effective than conventional inspiratory (CI)-CT/US fusion imaging for hepatic interventional procedures. MATERIALS AND METHODS: This prospective study... -
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- Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
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Lee J, Lee MW, Choi D, Cha DI, Lee S, Kang TW, Yang J, Jo J, Bang WC, Kim J, Shin D
- KMID: 2422361
- Ultrasonography.
- 2018 Oct;37(4):337-344.
- doi: 10.14366/usg.17065
PURPOSE: The purpose of this study was to evaluate the accuracy of an active contour model for estimating the posterior ablative margin in images obtained by the fusion of real-time... -
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