Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Eui Jin Hwang"'
Autor:
Eui Jin Hwang
Publikováno v:
Journal of the Korean Society of Radiology, Vol 85, Iss 4, Pp 693-704 (2024)
Artificial intelligence (AI) technology is actively being applied for the interpretation of medical imaging, such as chest X-rays. AI-based software medical devices, which automatically detect various types of abnormal findings in chest X-ray image
Externí odkaz:
https://doaj.org/article/7e32320b6da8496b9a00a3710fd471ee
Autor:
Thiego Ramon Soares, Roberto Dias de Oliveira, Yiran E. Liu, Andrea da Silva Santos, Paulo Cesar Pereira dos Santos, Luma Ravena Soares Monte, Lissandra Maia de Oliveira, Chang Min Park, Eui Jin Hwang, Jason R. Andrews, Julio Croda
Publikováno v:
The Lancet Regional Health. Americas, Vol 17, Iss , Pp 100388- (2023)
Summary: Background: The World Health Organization (WHO) recommends systematic tuberculosis (TB) screening in prisons. Evidence is lacking for accurate and scalable screening approaches in this setting. We aimed to assess the accuracy of artificial i
Externí odkaz:
https://doaj.org/article/8b3c67627e5d457e8c4c950c4bd8c988
Publikováno v:
BMC Pulmonary Medicine, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Diagnosis of pneumonia is critical in managing patients with febrile neutropenia (FN), however, chest X-ray (CXR) has limited performance in the detection of pneumonia. We aimed to evaluate the performance of a deep learning-based
Externí odkaz:
https://doaj.org/article/36257f8625594e33bf1667c4ea9ebbc8
Autor:
Sungho Hong, Eui Jin Hwang, Soojin Kim, Jiyoung Song, Taehee Lee, Gyeong Deok Jo, Yelim Choi, Chang Min Park, Jin Mo Goo
Publikováno v:
Diagnostics, Vol 13, Iss 6, p 1089 (2023)
It is unclear whether the visualization methods for artificial-intelligence-based computer-aided detection (AI-CAD) of chest radiographs influence the accuracy of readers’ interpretation. We aimed to evaluate the accuracy of radiologists’ interpr
Externí odkaz:
https://doaj.org/article/10f825a99b304adfa3fa412a470b59eb
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
Objective To determine the optimum definition of growth for indeterminate pulmonary nodules detected in lung cancer screening. Materials and methods Individuals with indeterminate nodules as defined by volume of 50–500 mm3 (solid nodules) and solid
Externí odkaz:
https://doaj.org/article/0342f32c754245979f7b1f97af187f08
Autor:
Soon Ho Yoon, Junghee Hong, Eui Jin Hwang, Heekyung Kim, Hyun-ju Lim, Young Joo Suh, Hyae Young Kim, Jin Mo Goo
Publikováno v:
대한영상의학회지, Vol 80, Iss 5, Pp 837-848 (2019)
A low-dose chest CT is performed for early detection of lung cancer, but the CT scan frequently shows several incidental abnormalities. Identification of the incidental findings may enable early detection of diseases other than lung cancer, thereby
Externí odkaz:
https://doaj.org/article/c7ae68cfee6f4ccabe5e71b580cfd5b8
Autor:
Eui Jin Hwang, Ki Beom Kim, Jin Young Kim, Jae-Kwang Lim, Ju Gang Nam, Hyewon Choi, Hyungjin Kim, Soon Ho Yoon, Jin Mo Goo, Chang Min Park
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252440 (2021)
Chest X-rays (CXRs) can help triage for Coronavirus disease (COVID-19) patients in resource-constrained environments, and a computer-aided detection system (CAD) that can identify pneumonia on CXR may help the triage of patients in those environment
Externí odkaz:
https://doaj.org/article/c19651b4c0f64b0fb99a818bbc40c01a
Autor:
Jin Woo Choi, Jae Young Lee, Eui Jin Hwang, Inpyeong Hwang, Sungmin Woo, Chang Joo Lee, Eun-Joo Park, Byung Ihn Choi
Publikováno v:
Ultrasonography, Vol 33, Iss 3, Pp 191-199 (2014)
Purpose: The aim of this study was to evaluate the safety and accuracy of a new portable ultrasonography-guided high-intensity focused ultrasound (USg-HIFU) system with a 3-dimensional (3D) electronic steering transducer, a simultaneous ablation and
Externí odkaz:
https://doaj.org/article/4b06738967164f5e92b7fbbb86e3c561
Autor:
Hyungjin Kim, Chang Min Park, Myunghee Lee, Sang Joon Park, Yong Sub Song, Jong Hyuk Lee, Eui Jin Hwang, Jin Mo Goo
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0164924 (2016)
To identify the impact of reconstruction algorithms on CT radiomic features of pulmonary tumors and to reveal and compare the intra- and inter-reader and inter-reconstruction algorithm variability of each feature.Forty-two patients (M:F = 19:23; mean
Externí odkaz:
https://doaj.org/article/b0b707dc19104dc19d23a1ff81c2eed7
Autor:
Eui Jin Hwang, Ji Eun Park, Kyoung Doo Song, Dong Hyun Yang, Kyung Won Kim, June-Goo Lee, Jung Hyun Yoon, Kyunghwa Han, Dong Hyun Kim, Hwiyoung Kim, Chang Min Park
Publikováno v:
Korean Journal of Radiology; Jul2024, Vol. 25 Issue 7, p613-622, 24p