Zobrazeno 1 - 10
of 435
pro vyhledávání: '"Kwang-Gi Kim"'
Autor:
Youngbae Jeon, Young-Jae Kim, Jisoo Jeon, Kug-Hyun Nam, Tae-Sik Hwang, Kwang-Gi Kim, Jeong-Heum Baek
Publikováno v:
PLoS ONE, Vol 18, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/b37b18a2190f41c88ec55e942e441cef
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11550 (2021)
Sensors in the medical field to detect specific tissues, such as radars, must provide accurate signals from frequency generators. In order to supply an accurate frequency signal, the oscillator must have a low phase noise. Therefore, the resonator us
Externí odkaz:
https://doaj.org/article/51ada15465f8413a9ec1ce939156cae6
Publikováno v:
Sensors, Vol 22, Iss 1, p 245 (2021)
The automatic segmentation of the pancreatic cyst lesion (PCL) is essential for the automated diagnosis of pancreatic cyst lesions on endoscopic ultrasonography (EUS) images. In this study, we proposed a deep-learning approach for PCL segmentation on
Externí odkaz:
https://doaj.org/article/8bbcdc6e49c9464c90836e214791b8e8
Autor:
Leonard Sunwoo, Young Jae Kim, Seung Hong Choi, Kwang-Gi Kim, Ji Hee Kang, Yeonah Kang, Yun Jung Bae, Roh-Eul Yoo, Jihang Kim, Kyong Joon Lee, Seung Hyun Lee, Byung Se Choi, Cheolkyu Jung, Chul-Ho Sohn, Jae Hyoung Kim
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0178265 (2017)
To assess the effect of computer-aided detection (CAD) of brain metastasis (BM) on radiologists' diagnostic performance in interpreting three-dimensional brain magnetic resonance (MR) imaging using follow-up imaging and consensus as the reference sta
Externí odkaz:
https://doaj.org/article/6557f21ad0f1431dbb5339f717a08e92
Publikováno v:
Healthcare Informatics Research, Vol 17, Iss 3, Pp 143-149 (2011)
Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different CAD schemes are being developed for use in the detection and/or characterization of various lesions found through
Externí odkaz:
https://doaj.org/article/eed58febdd244c15bcc83ba21be5137a
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e85167 (2014)
BACKGROUND: Early discrimination between transient and persistent par-solid ground-glass nodules (PSNs) at CT is essential for patient management. The objective of our study was to retrospectively investigate the value of texture analysis in differen
Externí odkaz:
https://doaj.org/article/2201ef6b9c8a48eebb38e441f0ea8f49
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The extra-articular distal humerus plate (EADHP) has been widely used for surgical treatment of distal humerus shaft fracture (DHSF). However, the surgical approach, fixation methods, and implant positions of the EADHP remain controversial o
Externí odkaz:
https://doaj.org/article/3631fbfbe2b148c88a276c84bc4344c7
Autor:
Seok Oh, Young Jae Kim, Jeseong Kim, Joon Hyeok Jung, Hun Jun Lim, Bong Chul Kim, Kwang Gi Kim
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background In this study, we investigated whether deep learning-based prediction of osseointegration of dental implants using plain radiography is possible. Methods Panoramic and periapical radiographs of 580 patients (1,206 dental implants)
Externí odkaz:
https://doaj.org/article/30c7626c4393418ebedd20cdeb723e1b
Publikováno v:
IEEE Access, Vol 11, Pp 121870-121881 (2023)
Intravenous (IV) therapy provides a rapid therapeutic effect. However, errors in infusion rate can lead to over-dosing and under-dosing, potentially causing severe side effects for patients. To prevent incidents, medical staff visually monitors medic
Externí odkaz:
https://doaj.org/article/bba4a97f86f44f6ba64901cc6cc1e8fe
Publikováno v:
Healthcare Informatics Research, Vol 29, Iss 1, Pp 84-88 (2023)
Objectives Since the easiest way to identify pills and obtain information about them is to distinguish them visually, many studies on image processing technology exist. However, no automatic system for generating pill image data has yet been develope
Externí odkaz:
https://doaj.org/article/7bdb0167867c4d77a1da57cb3242b4bb