Výsledky vyhledávání - "Won-Chul BANG"

Akademický článek

The Impact of Deep Learning on Ultrasound in Diagnosis and Therapy: Enhancing Clinical Decision Support, Workflow Efficiency, Quantification, Image Registration, and Real-time Assistance

Autor: Won-Chul Bang, PhD, Vice President, Yeong Kyeong Seong, PhD, Jinyong Lee

Publikováno v: Advanced Ultrasound in Diagnosis and Therapy, Vol 7, Iss 2, Pp 204-216 (2023)

This review article introduces the main concepts and architectures of deep learning networks for medical imaging tasks, such as classification, detection, segmentation, and generation. It then surveys how deep learning has been applied to ultrasound

Externí odkaz: https://doaj.org/article/966e21a720b943b686e948755c12c245

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Akademický článek

Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency

Autor: 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

Publikováno v: Ultrasonography, Vol 40, Iss 1, Pp 7-22 (2021)

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, detection, segmentation, and generation.

Externí odkaz: https://doaj.org/article/a9b787e67d6f4e6686ae249719be4e01

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Akademický článek

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

Autor: Junkyo Lee, Min Woo Lee, Dongil Choi, Dong Ik Cha, Sunyoung Lee, Tae Wook Kang, Jehoon Yang, Jaemoon Jo, Won-Chul Bang, Jongsik Kim, Dongkuk Shin

Publikováno v: Ultrasonography, Vol 37, Iss 4, Pp 337-344 (2018)

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 ultrasonography (US) and 3-dimensional (3D) US or magnetic resonance

Externí odkaz: https://doaj.org/article/6c0043390a1447d5903889e794e2038a

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Akademický článek

A 3D Hand-drawn Gesture Input Device Using Fuzzy ARTMAP-based Recognizer

Autor: Jing Yang, Won-Chul BANG, Eun-Seok CHOI, Sung-Jung CHO, Jong-Koo OH, Joon-Kee CHO, Sang-Ryong KIM, Eun-Kwang KI, Dong-Yoon KIM

Publikováno v: Journal of Systemics, Cybernetics and Informatics, Vol 4, Iss 3, Pp 1-7 (2006)

In this paper, a novel input device based on 3D dynamic hand-drawn gestures is presented. It makes use of inertial sensor and pattern recognition technique. Fuzzy ARTMAP based recognizer is adopted to realize gesture recognition by using 3-axis accel

Externí odkaz: https://doaj.org/article/71071777ef894063b7ca064fab5f7ded

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Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency

Autor: Won-Chul Bang, Byungeun Ahn, Kilsu Ha, Zaegyoo Hah, Moon Ho Park, Jonghyon Yi, Ho Kyung Kang, Dong Woo Kim, Kang-Sik Kim, Yeong-kyeong Seong, Jinyong Lee, Jae-Hyun Kwon

Publikováno v: Ultrasonography
Ultrasonography, Vol 40, Iss 1, Pp 7-22 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f63c8224fdb887286a7d64ba3ce7af31
http://europepmc.org/articles/PMC7758107

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Autor: Dong-Kuk Shin, Jae-Moon Jo, Junkyo Lee, Jong-Sik Kim, Jehoon Yang, Won-Chul Bang, Dongil Choi, Tae Wook Kang, Min Woo Lee, Dong Ik Cha, Sunyoung Lee

Publikováno v: Ultrasonography
Ultrasonography, Vol 37, Iss 4, Pp 337-344 (2018)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e446e21f70445cd7c99119a146b03277
http://europepmc.org/articles/PMC6177685

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A deep learning framework for supporting the classification of breast lesions in ultrasound images

Autor: Yeong Kyeong Seong, Moon-Ho Park, Wonsik Kim, Ho-kyung Kang, Won-Chul Bang, Seokmin Han, Ja-Yeon Jeong

Publikováno v: Physics in Medicine & Biology. 62:7714-7728

In this research, we exploited the deep learning framework to differentiate the distinctive types of lesions and nodules in breast acquired with ultrasound imaging. A biopsy-proven benchmarking dataset was built from 5151 patients cases containing a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dea0a57ed82fe576bbed43a3e8f429cb
https://doi.org/10.1088/1361-6560/aa82ec

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Image Fusion of Real-Time Ultrasonography with Computed Tomography: Factors Affecting the Registration Error and Motion of Focal Hepatic Lesions

Autor: Tae Wook Kang, Byung Ihn Choi, Won-Chul Bang, Bora Lee, Jiwon Ryu, Hyun Jeong Park, Eun Sun Lee, Min Woo Lee

Publikováno v: Ultrasound in Medicine & Biology. 43:2024-2032

Factors affecting the registration error (RE) and motion of focal hepatic lesions (FHLs) in image fusion of real-time ultrasonography (US) with computed tomography (CT) images were prospectively assessed by focusing on respiratory movement and FHL lo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f496954dee5b23ea1453a8396ff35917
https://doi.org/10.1016/j.ultrasmedbio.2017.01.027

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Comparison Between CT and MR Images as More Favorable Reference Data Sets for Fusion Imaging-Guided Radiofrequency Ablation or Biopsy of Hepatic Lesions: A Prospective Study with Focus on Patient’s Respiration

Autor: Dong Ik Cha, Kyunga Kim, Jiwon Ryu, Dalkwon Koh, Jung-Woo Chang, Kyong Joon Lee, Ja-Yeon Jeong, Won-Chul Bang, Young-Taek Oh, Tae Wook Kang, Sung-Jin Choi, Min Woo Lee, Jaeil Kim, Dong Kuk Shin

Publikováno v: CardioVascular and Interventional Radiology. 40:1567-1575

To identify the more accurate reference data sets for fusion imaging-guided radiofrequency ablation or biopsy of hepatic lesions between computed tomography (CT) and magnetic resonance (MR) images. This study was approved by the institutional review

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b16ecc2b06bc37afef862596edde73a3
https://doi.org/10.1007/s00270-017-1666-5

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A prospective comparison between auto-registration and manual registration of real-time ultrasound with MR images for percutaneous ablation or biopsy of hepatic lesions

Autor: Kyunga Kim, Jung-Woo Chang, Young-Taek Oh, Dong Kuk Shin, Dong Ik Cha, Won-Chul Bang, Jiwon Ryu, Jaeil Kim, Sung-Jin Choi, Dalkwon Koh, Bong Koo Seo, Kyoung Doo Song, Kyong Joon Lee, Min Woo Lee, Ja-Yeon Jeong

Publikováno v: Abdominal Radiology. 42:1799-1808

To compare the accuracy and required time for image fusion of real-time ultrasound (US) with pre-procedural magnetic resonance (MR) images between positioning auto-registration and manual registration for percutaneous radiofrequency ablation or biops

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67615d77d021f3ee684fabafffd1c7e
https://doi.org/10.1007/s00261-017-1075-x

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