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Sep. 21 (Wed),
14:10-15:40
Scientific Session (SS 11)
Breast
Adv
English
Chair(s)
Bong Joo Kang (Korea)
Grand Ballroom 101, 1F
(Room 1)
AI applications in breast imaging
Hee Jung Shin (Korea)
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14:10-14:20
AI-based computer assisted diagnosis/detection systems can be used for upgrade prediction of DCIS diagnosed with percutaneous biopsy
Jung Hyun Yoon (Korea, Republic of)
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14:20-14:30
The use of artificial intelligence in women with screening recalls reduces the needs for supplemental diagnostic mammographic views
Yeon Soo Kim (Korea, Republic of)
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14:30-14:40
Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study
Gaeun Kim (Korea, Republic of)
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14:40-14:50
Real-time decision support by light-weighted AI model trained with large-scale data for breast cancer diagnosis using ultrasound
Jaeil Kim (Korea, Republic of)
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14:50-15:00
A deep learning model for the diagnosis of small breast cancers smaller than 1cm on ultrasonography: integration of ultrasonography and clinical risk factors
Haein Lee (Korea, Republic of)
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15:00-15:10
Comparison of imaging characteristics of breast cancer between young age and average age women based on radiomics features
Sangkeun Song (Korea, Republic of)
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15:10-15:20
Deep learning with 3D convolutional neural networks for prediction of BRCA gene mutation in high-risk breast cancer patients
Heewon Yoon (Korea, Republic of)
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15:20-15:30
Deep learning for detection and segmentation of breast cancer with early and delayed phases of dynamic contrast enhanced MR
Jeaneun Park (Korea, Republic of)
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15:30-15:40
Machine learning with multiparametric breast MRI features for prediction of BRCA gene mutation in high-risk breast cancer patients
Hyeongyu Yoo (Korea, Republic of)