Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Kyong Joon Lee"'
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:
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
Autor:
Tackeun Kim, Jaehyuk Heo, Dong-Kyu Jang, Leonard Sunwoo, Joonghee Kim, Kyong Joon Lee, Si-Hyuck Kang, Sang Jun Park, O-Ki Kwon, Chang Wan Oh
Publikováno v:
EBioMedicine, Vol 40, Iss , Pp 636-642 (2019)
Background: Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms,
Externí odkaz:
https://doaj.org/article/029a45edecf64bd6ade84bba35a93523
Publikováno v:
IEEE Access, Vol 7, Pp 32256-32265 (2019)
We present a method for digital subtraction angiography based on phase-based nonrigid deformation with specific consideration for changes between the image pairs. Input images are transformed into a scale-space representation using complex-valued fil
Externí odkaz:
https://doaj.org/article/3ece26789b604664b173c457b7d0884e
Publikováno v:
BMC Medical Imaging, Vol 18, Iss 1, Pp 1-9 (2018)
Abstract Background To develop an algorithm to predict the visually lossless thresholds (VLTs) of CT images solely using the original images by exploiting the image features and DICOM header information for JPEG2000 compression and to evaluate the al
Externí odkaz:
https://doaj.org/article/713e477303f646af92fb99b0770e269c
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:
Yousun Ko, Jin Woo Choi, Dong Hyun Kim, Kyong Joon Lee, Sang Soo Shin, Ji Young Woo, Seong Whi Cho, Bong Soo Kim, Kyoung Ho Lee
Publikováno v:
대한영상의학회지, Vol 76, Iss 3, Pp 165-172 (2017)
This special report aimed to document our experiences in implementing the Central Imaging Archiving and Management System (CIAMS) for a multicenter clinical trial, Low-dose CT for Appendicitis Trial (LOCAT), supported by the Korean Society of Radiolo
Externí odkaz:
https://doaj.org/article/2e8a1b6b9c5e4d97ad19c0adbf07ef0b
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 2014 (2021)
Blood vessel segmentation (BVS) of 3D medical imaging such as computed tomography and magnetic resonance angiography (MRA) is an essential task in the clinical field. Automation of 3D BVS using deep supervised learning is being researched, and U-Net-
Externí odkaz:
https://doaj.org/article/c6016249370049769c9654e83bef6a20
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:
Jungheum Cho, Jihang Kim, Kyong Joon Lee, Chang Mo Nam, Sung Hyun Yoon, Hwayoung Song, Junghoon Kim, Ye Ra Choi, Kyung Hee Lee, Kyung Won Lee
Publikováno v:
Journal of Clinical Medicine, Vol 9, Iss 12, p 3908 (2020)
We aimed to analyse the CT examinations of the previous screening round (CTprev) in NLST participants with incidence lung cancer and evaluate the value of DL-CAD in detection of missed lung cancers. Thoracic radiologists reviewed CTprev in participan
Externí odkaz:
https://doaj.org/article/f1e89a390c8c44e6a73aa01eded449eb