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Sep. 23 (Fri),
09:40-11:00
Scientific Session (SS 28)
Pediatric
Adv
English
Chair(s)
Young Hun Choi (Korea)
Grand Ballroom 105, 1F
(Room 5)
Hot issue in pediatric radiology
Jae-Yeon Hwang (Korea)
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09:40-09:49
Development and evaluation of deep-learning measurement of leg length discrepancy: bilateral iliac crest height difference measurement
Min Jong Kim (Korea, Republic of)
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09:49-09:58
A new deep learning-based model for detecting pneumothorax on infantograms in patients admitted to the neonatal care units
Ji Eun Park (Korea, Republic of)
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09:58-10:07
Development of a deep learning model to identify pediatric blowout fractures in radiographs
Joo Hui Kim (Korea, Republic of)
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10:07-10:16
Can image conversion be a solution for the generalizability of an artificial intelligence-based model?
Yeon Jin Cho (Korea, Republic of)
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10:16-10:25
Re-assessment of applicability of Greulich and Pyle-based bone age to Korean children using manual and deep learning-based automated method
Ji Sun Hwang (Korea, Republic of)
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10:25-10:34
A deep learning-based model for pediatric bone age assessment in a Korean pediatric population: comparison with a Greulich and Pyle-based system and development of a Korean standard atlas
Pyeong Hwa Kim (Korea, Republic of)
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10:34-10:43
Comparison of image quality, contrast administration, and radiation dose of pediatric abdominal dual-energy CT in actual usage
Ye Seul Kang (Korea, Republic of)
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10:43-10:52
Comparison of the size-specific dose estimates (SSDE) received by children in diagnostic examinations using the 256-slice multi-detector CT and 1,152-slice dual-energy CT scanners at St. Luke’s medical center
Danielle Santos (Philippines)
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10:52-11:00
Prediction of high-risk neuroblastoma among neuroblastic tumors using radiomics features derived from magnetic resonance imaging
Ji Soo Kim (Korea, Republic of)
D + 816
Coex, Seoul, Korea
