Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs.

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作者： Seung Min,Ryu ^[1] ; Soyoung,Lee ^[2] ; Miso,Jang ^[2] ; Jung-Min,Koh ^[3] ; Sung Jin,Bae ^[4] ; Seong Gyu,Jegal ^[5] ; Keewon,Shin ^[2] ; Namkug,Kim ^[2]

作者单位： Department of Orthopedic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[1] Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[2] Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[3] Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[4] Department of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[5]

关键词 Compression Fractures Computer-Assisted Diagnosis Computer-Assisted Radiographic Image Interpretation Deep Learning Osteoporotic Fractures

DOI 10.1016/j.csbj.2023.06.017

PMID 37457807

发布时间 2023-07-18

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Computational and structural biotechnology journal

2023年21卷

3452-3458页

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Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs.

Computational and structural biotechnology journal

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Computational and structural biotechnology journal

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Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs.

Computational and structural biotechnology journal

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Computational and structural biotechnology journal

相关期刊

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