Zobrazeno 1 - 10 of 77 pro vyhledávání: '"Hye Jeon, Hwang"'
1
Akademický článek
Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease
Autor: Jooae Choe, Hye Young Choi, Sang Min Lee, Sang Young Oh, Hye Jeon Hwang, Namkug Kim, Jihye Yun, Jae Seung Lee, Yeon-Mok Oh, Donghoon Yu, Byeongsoo Kim, Joon Beom Seo
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The aim of our study was to assess the performance of content-based image retrieval (CBIR) for similar chest computed tomography (CT) in obstructive lung disease. This retrospective study included patients with obstructive lung disease who u
Externí odkaz: https://doaj.org/article/d38d8b6e8215467d95905a9c74f5faa2
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2
Akademický článek
Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network
Autor: Miso Jang, Hyun-jin Bae, Minjee Kim, Seo Young Park, A-yeon Son, Se Jin Choi, Jooae Choe, Hye Young Choi, Hye Jeon Hwang, Han Na Noh, Joon Beom Seo, Sang Min Lee, Namkug Kim
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The generative adversarial network (GAN) is a promising deep learning method for generating images. We evaluated the generation of highly realistic and high-resolution chest radiographs (CXRs) using progressive growing GAN (PGGAN). We traine
Externí odkaz: https://doaj.org/article/81c342f5289a4c27b81d630f94efa3f9
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4
Artificial Intelligence in Lung Imaging
Autor: Jooae, Choe, Sang Min, Lee, Hye Jeon, Hwang, Jihye, Yun, Namkug, Kim, Joon Beom, Seo
Publikováno v: Seminars in Respiratory and Critical Care Medicine. 43:946-960
Recently, interest and advances in artificial intelligence (AI) including deep learning for medical images have surged. As imaging plays a major role in the assessment of pulmonary diseases, various AI algorithms have been developed for chest imaging
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac85ae8dbb02e34c3f00773f9b9408e
https://doi.org/10.1055/s-0042-1755571
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5
Akademický článek
High-pitch, 120 kVp/30 mAs, low-dose dual-source chest CT with iterative reconstruction: Prospective evaluation of radiation dose reduction and image quality compared with those of standard-pitch low-dose chest CT in healthy adult volunteers.
Autor: Hyun Kyung Lim, Hong Il Ha, Hye Jeon Hwang, Kwanseop Lee
Publikováno v: PLoS ONE, Vol 14, Iss 1, p e0211097 (2019)
PURPOSE:Objective of this study was to evaluate the effectiveness of the iterative reconstruction of high-pitch dual-source chest CT (IR-HP-CT) scanned with low radiation exposure compared with low dose chest CT (LDCT). MATERIALS AND METHODS:This stu
Externí odkaz: https://doaj.org/article/bfc4064af2d049979f28cb5988ab8d53
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8
Akademický článek
Long-Term Follow-Up of Interstitial Lung Abnormality: Implication in Follow-Up Strategy and Risk Thresholds.
Autor: Sohee Park, Jooae Choe, Hye Jeon Hwang, Han Na Noh, Young Ju Jung, Jung-Bok Lee, Kyung-Hyun Do, Eun Jin Chae, Joon Beom Seo
Publikováno v: American Journal of Respiratory & Critical Care Medicine; 10/15/2023, Vol. 208 Issue 8, p858-867, 10p
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9
Akademický článek
Ultrasonographic Findings of Epipericardial Fat Necrosis: A Case Report
Autor: Chanyeong Park, Hye Jeon Hwang, Kwanseop Lee, In Jae Lee, Kyoung Ha Park
Publikováno v: 대한영상의학회지, Vol 74, Iss 4, Pp 222-225 (2016)
Epipericardial fat necrosis (EFN) is an infrequent cause of acute chest pain. In rare cases like these, conservative treatment is necessary. Clinically, EFN may mimic emergent cardiopulmonary conditions, such as acute myocardial infarction. Computed
Externí odkaz: https://doaj.org/article/a6079b9aa69141129ae1ef71654b5431
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