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Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly.

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第一作者： Xue,Chen

第一单位： Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China.

作者： Xue,Chen ^[1] ; Daqiang,Xu ^[1] ; Xiaowen,Gu ^[1] ; Zhisen,Li ^[1] ; Yisha,Zhang ^[2] ; Peng,Wu ^[3] ; Zhou,Huang ^[4] ; Jibin,Zhang ^[5] ; Yonggang,Li ^[6]

作者单位： Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China. ^[1] Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China. ^[2] Philips Healthcare, Shanghai, 200072, China. ^[3] Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, 215006, China. 18896586806@163.com. ^[4] Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China. zjb12042@126.com. ^[5] Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, 215006, China. liyonggang224@163.com.;Institute of Medical Imaging, Soochow University, Suzhou City, Jiangsu Province, 215000, China. liyonggang224@163.com. ^[6]

关键词 Fetal ventriculomegaly Machine learning Magnetic resonance imaging Prediction Radiomics