Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Hyeonsoo Lee"'
Autor:
Mi-ri Kwon, Yoosoo Chang, Soo-Youn Ham, Yoosun Cho, Eun Young Kim, Jeonggyu Kang, Eun Kyung Park, Ki Hwan Kim, Minjeong Kim, Tae Soo Kim, Hyeonsoo Lee, Ria Kwon, Ga-Young Lim, Hye Rin Choi, JunHyeok Choi, Shin Ho Kook, Seungho Ryu
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-12 (2024)
Abstract Background Artificial intelligence (AI) algorithms for the independent assessment of screening mammograms have not been well established in a large screening cohort of Asian women. We compared the performance of screening digital mammography
Externí odkaz:
https://doaj.org/article/1d7c4d1b36584c66a26cf409ca7efc53
Autor:
Eun Kyung Park, Hyeonsoo Lee, Minjeong Kim, Taesoo Kim, Junha Kim, Ki Hwan Kim, Thijs Kooi, Yoosoo Chang, Seungho Ryu
Publikováno v:
Diagnostics, Vol 14, Iss 12, p 1212 (2024)
The purposes of this study were to develop an artificial intelligence (AI) model for future breast cancer risk prediction based on mammographic images, investigate the feasibility of the AI model, and compare the AI model, clinical statistical risk m
Externí odkaz:
https://doaj.org/article/13ed110404014336b5690cf4d0b599d8
Autor:
Jungeun Lee, Hyeonsoo Lee, Cheol Bak, Youngsun Hong, Daeha Joung, Jeong Beom Ko, Yong Min Lee, Chanhoon Kim
Publikováno v:
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-12 (2023)
Highlights Sulfonated polyvinylidene fluoride (S-PVdF) binders with improved hydrophilicity were synthesized via a simple sulfonation process of conventional hydrophobic PVdF binders. The abundant sulfonate groups of S-PVdF binders significantly impr
Externí odkaz:
https://doaj.org/article/13f637b874e04883a977f87959986202
Publikováno v:
Radiol Artif Intell
PURPOSE: To develop an efficient deep neural network model that incorporates context from neighboring image sections to detect breast cancer on digital breast tomosynthesis (DBT) images. MATERIALS AND METHODS: The authors adopted a transformer archit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43635145bd587f3e274bf2b2e0b84ec2
https://europepmc.org/articles/PMC10245183/
https://europepmc.org/articles/PMC10245183/
Publikováno v:
The Korean Academic Association of Business Administration. 32:285-304
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afac803f70dc1a1baf064aab612e413f
https://doi.org/10.18032/kaaba.2019.32.2.285
https://doi.org/10.18032/kaaba.2019.32.2.285
Autor:
Eun Kyung Park, Hyeonsoo Lee, Minjeong Kim, Ki Hwan Kim, Hyeonseob Nam, Yoosoo Chang, Seungho Ryu
Publikováno v:
Journal of Clinical Oncology. 40:10533-10533
10533 Background: Accurate risk assessment allows the precise personalized screening of breast cancer. Conventional statistical risk models have been used that estimate the probability of breast cancer incidence with patient demographics, detailed pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d646d17ca6c73cfb9da21e93044767
https://doi.org/10.1200/jco.2022.40.16_suppl.10533
https://doi.org/10.1200/jco.2022.40.16_suppl.10533
Autor:
Won-Ki Jeong, Hyeonsoo Lee
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597092
MICCAI (1)
MICCAI (1)
Segmentation is a fundamental process in microscopic cell image analysis. With the advent of recent advances in deep learning, more accurate and high-throughput cell segmentation has become feasible. However, most existing deep learning-based cell se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc25a28a8c8bef772a08af0290404e50
https://doi.org/10.1007/978-3-030-59710-8_2
https://doi.org/10.1007/978-3-030-59710-8_2
Autor:
Yong-Cheol Suh, HyeonSoo Lee
Publikováno v:
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 34:569-578
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ff72581ca2164b7300d7e1723e80f9e
https://doi.org/10.7848/ksgpc.2016.34.6.569
https://doi.org/10.7848/ksgpc.2016.34.6.569
Autor:
Han Tae-Yang, Seungyeon Lee, Jihwan Park, Namik Kim, Yunyoung Nam, Hyeonsoo Lee, Youngsun Kong
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811050404
MUE/FutureTech
MUE/FutureTech
In this paper, we developed a low-cost video-oculography device that diagnose neural diseases such as nystagmus by the vestibular function test using an infrared camera. An infrared camera and LEDs were attached in a pair of developed goggles, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e98fbf3a4214333fd3f199fc8fc29a
https://doi.org/10.1007/978-981-10-5041-1_44
https://doi.org/10.1007/978-981-10-5041-1_44
Publikováno v:
Archives of Disease in Childhood - Fetal and Neonatal Edition. 70:F218-F222
There is increasing evidence that bronchodilators are effective in ventilator dependent preterm infants. The effects of single doses of salbutamol (400 micrograms), ipratropium bromide (72 micrograms), and placebo (four puffs) given by metered dose i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78dd3ffb3c856fa1de40c63fd557d8f
https://doi.org/10.1136/fn.70.3.f218
https://doi.org/10.1136/fn.70.3.f218