Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Kyungmin Jo"'
Publikováno v:
IEEE Access, Vol 7, Pp 919-930 (2019)
X-ray angiography, used in the evaluation of coronary artery disease, presents difficulties in the performance of quantitative coronary angiography analysis, by identifying major vessels. These difficulties are due to problems such as non-uniform ill
Externí odkaz:
https://doaj.org/article/c58db92943704cd3898a57f87d104c60
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2865 (2019)
More than half of post-operative complications can be prevented, and operation performances can be improved based on the feedback gathered from operations or notifications of the risks during operations in real time. However, existing surgical analys
Externí odkaz:
https://doaj.org/article/0d825f3f109d4885a6acd5d198612b5d
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
IEEE Access, Vol 7, Pp 919-930 (2019)
X-ray angiography, used in the evaluation of coronary artery disease, presents difficulties in the performance of quantitative coronary angiography analysis, by identifying major vessels. These difficulties are due to problems such as non-uniform ill
Autor:
Kyungmin Jo, Euijin Hwang
Publikováno v:
Metrologia. 59:045016
The primary reference measurement procedure is a method to realize the definition of the quantity without relation to a reference standard of the same quantity. This paper presents a candidate primary reference measurement procedure for the measureme
Autor:
Taewoo Kim, Jinhee Kim, Kyungmin Jo, Chang Ho Ahn, Taesung Kim, Sung Hye Kong, Chan Soo Shin, Jung Hee Kim, Jaegul Choo
Publikováno v:
Journal of the Endocrine Society. 5:A82-A83
Objective: Adrenal nodules are often incidentally detected on abdominal computed tomography (CT) scans due to their asymptomatic nature. We aimed to develop an automatic detection program for adrenal nodules on abdominal CT scans using deep learning
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2865 (2019)
Applied Sciences
Volume 9
Issue 14
Applied Sciences
Volume 9
Issue 14
More than half of post-operative complications can be prevented, and operation performances can be improved based on the feedback gathered from operations or notifications of the risks during operations in real time. However, existing surgical analys
Autor:
V. Dobrovolskyi, Alan Snedden, Emrah Uysal, Alena Sobina, Alexandr Shimolin, Toshiaki Asakai, Diego A. Ahumada, Sidney Pereira Sobral, Hernán Lozano, B. Wu, R. S. Neves, Beatrice Sander, Sergey Prokunin, Wladyslaw Kozlowski, L. V. Morales, Lisa Carol Deleebeeck, Frank Bastkowski, Michal Máriássy, Kyungmin Jo, Zuzana Hanková, Henry Torres Quezada, Daniela Stoica, J. Montero-Ruiz, José Luis Ortiz-Aparicio, L. Ma, Lokman Liv, Euijin Hwang, Mabel Puelles, Paulo Paschoal Borges, Matilda Roziková
Publikováno v:
Metrologia. 58:08002
This key comparison (KC), CCQM-K73, was performed to demonstrate the capability of the participating National Metrology Institutes (NMIs) to measure the amount content of H + , νH + , in an HCl solution with a nominal νH + of 0.1 mol·kg -1 . A par
Automatic Vessel Detection Technique in Laparoscopic Surgical Imaging Including Surgical Instruments
Autor:
Jaesoon Choi, Kyungmin Jo
Publikováno v:
EMBC
In this paper, we propose a new technique to recognize vessels in robot-assisted laparoscopic surgery images by using surgical instruments. The proposed method does not require additional hardware or parameter adjustment because it detects blood vess