Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Dongjun Choi"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract As many human organs exist in pairs or have symmetric appearance and loss of symmetry may indicate pathology, symmetry evaluation on medical images is very important and has been routinely performed in diagnosis of diseases and pretreatment
Externí odkaz:
https://doaj.org/article/6af5ff7951144d6aa950ab1286b9e93a
Autor:
In-Chang Hwang, Dongjun Choi, You-Jung Choi, Lia Ju, Myeongju Kim, Ji-Eun Hong, Hyun-Jung Lee, Yeonyee E. Yoon, Jun-Bean Park, Seung-Pyo Lee, Hyung-Kwan Kim, Yong-Jin Kim, Goo-Yeong Cho
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Differential diagnosis of left ventricular hypertrophy (LVH) is often obscure on echocardiography and requires numerous additional tests. We aimed to develop a deep learning algorithm to aid in the differentiation of common etiologies of LVH
Externí odkaz:
https://doaj.org/article/bae2e08471134c5296ea789edfc7b003
Autor:
Sang-Yeong Cho, Sun-Hwa Kim, Si-Hyuck Kang, Kyong Joon Lee, Dongjun Choi, Seungjin Kang, Sang Jun Park, Tackeun Kim, Chang-Hwan Yoon, Tae-Jin Youn, In-Ho Chae
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Predicting the risk of cardiovascular disease is the key to primary prevention. Machine learning has attracted attention in analyzing increasingly large, complex healthcare data. We assessed discrimination and calibration of pre-existing car
Externí odkaz:
https://doaj.org/article/68aaa9b55dd04e6aa28fd62a172d6c4e
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0241796 (2020)
ObjectivesThis study aimed to compare the diagnostic performance of deep learning algorithm trained by single view (anterior-posterior (AP) or lateral view) with that trained by multiple views (both views together) in diagnosis of mastoiditis on mast
Externí odkaz:
https://doaj.org/article/fb23c73a46dc4cdb9a4c409aa520b014
Autor:
Yejin Jeon, Kyeorye Lee, Leonard Sunwoo, Dongjun Choi, Dong Yul Oh, Kyong Joon Lee, Youngjune Kim, Jeong-Whun Kim, Se Jin Cho, Sung Hyun Baik, Roh-eul Yoo, Yun Jung Bae, Byung Se Choi, Cheolkyu Jung, Jae Hyoung Kim
Publikováno v:
Diagnostics, Vol 11, Iss 2, p 250 (2021)
Accurate image interpretation of Waters’ and Caldwell view radiographs used for sinusitis screening is challenging. Therefore, we developed a deep learning algorithm for diagnosing frontal, ethmoid, and maxillary sinusitis on both Waters’ and Cal
Externí odkaz:
https://doaj.org/article/1b8b0c610d194e57b6ce2613f4c25206
Autor:
Hunjong Lim, Dongjun Choi, Sunwoo, Leonard, Jae Hyeop Jung, Sung Hyun Baik, Se Jin Cho, Jinhee Jang, Tackeun Kim, Kyong Joon Lee
Publikováno v:
American Journal of Neuroradiology; Sep2024, Vol. 45 Issue 9, p1253-1259, 7p
Publikováno v:
The Journal of Internal Korean Medicine. 43:244-253
Objective: This study reports on the management of a patient with myasthenia gravis (MG) following myasthenic crisis (MC) using Korean medicine.Methods: A 77-year-old Class Ⅴ MG patient was treated with acupuncture, moxibustion, and Korean herbal m
Publikováno v:
Computerized Medical Imaging and Graphics. 107:102220
Autor:
Eugene Lee, Choong Guen Chee, Joon Woo Lee, Young-June Kim, Hee Dong Chae, Dongjun Choi, Heung Sik Kang, Sung Hwan Hong, Yusuhn Kang, Jungheum Cho, Joong Mo Ahn, Chang Mo Nam, Kyong Joon Lee
Publikováno v:
American Journal of Roentgenology. 213:155-162
OBJECTIVE. The objective of our study was to compare the sensitivity of a deep learning (DL) algorithm with the assessments by radiologists in diagnosing osteonecrosis of the femoral head (ONFH) using digital radiography. MATERIALS AND METHODS. We pe
Autor:
Kyong Joon Lee, Cheolkyu Jung, Jae Hyoung Kim, Yun Jung Bae, Roh Eul Yoo, Leonard Sunwoo, Chang Mo Nam, Jihyun Kim, Jungheum Cho, Youngjune Kim, Dongjun Choi, Byung Se Choi
Publikováno v:
Investigative Radiology. 54:7-15
The aim of this study was to compare the diagnostic performance of a deep learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view radiographs.Among 80,475 Waters' view radiographs, examined between May 2003 and