Prediction of invasive placenta with quantitative placental textures features from clinical MRI scan
Huaiqiang Sun1, Haoyang Xing1,2, Haibo Qu3, Yi Liao3, Xiaoxia Zhou4, Zhiyi Zhou4, Qiyong Gong1, and Shu Zhou4
1Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2College of Physical Science and Technology, Sichuan University, chengdu, China, 3Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China, 4Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
A machine learning framework that can predict invasive placenta with MRI texture features and identify significant relevant image features
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