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首页> European journal of radiology> The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.

The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.

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作者： Tsubasa,Mawatari ^[1] ; Yoshiko,Hayashida ^[2] ; Shigehiko,Katsuragawa ^[1] ; Yuta,Yoshimatsu ^[3] ; Toshihiko,Hamamura ^[3] ; Kenta,Anai ^[3] ; Midori,Ueno ^[3] ; Satoru,Yamaga ^[4] ; Issei,Ueda ^[3] ; Takashi,Terasawa ^[3] ; Akitaka,Fujisaki ^[3] ; Chihiro,Chihara ^[3] ; Tomoyuki,Miyagi ^[4] ; Takatoshi,Aoki ^[3] ; Yukunori,Korogi ^[3]

作者单位： Department of Radiological Sciences, Graduate school of Health Sciences, Teikyo University, 6-22 Misakimachi, Omuta, Fukuoka, 836-8505, Japan. ^[1] Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan. Electronic address: yhlinda@med.uoeh-u.ac.jp. ^[2] Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan. ^[3] Department of Medicine and Biosystemic Sciences, Graduate School of Medical Sciences, Kyushu University, Japan. ^[4]

关键词 Diagnosis, Computer-Assisted Femoral Fractures Neural Networks, Computer Radiography Reference Standards

主题词老年人(Aged);老年人, 80以上(Aged, 80 and over);曲线下面积(Area Under Curve);女(雌)性(Female);髋骨折(Hip Fractures);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);中年人(Middle Aged);骨盆(Pelvis);ROC曲线(ROC Curve);X线影像增强(Radiographic Image Enhancement);放射摄影术, 腹部(Radiography, Abdominal);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.1016/j.ejrad.2020.109188

PMID 32721827

发布时间 2021-03-17

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European journal of radiology

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