no code implementations • 11 Apr 2022 • Chengze Zhu, Pingge Hu, Xianxu Zeng, Xingtong Wang, Zehua Ji, Li Shi
We developed a hydatidiform mole hydrops lesion segmentation model based on a novel loss function and training method.
no code implementations • 11 Apr 2022 • Chengze Zhu, Pingge Hu, Xianxu Zeng, Xingtong Wang, Zehua Ji, Li Shi
We constructed a deep-learning-based CAD system to identify HM hydrops lesions in the microscopic view in real-time.
1 code implementation • 24 Apr 2019 • Hao Sun, Xianxu Zeng, Tao Xu, Gang Peng, Yutao Ma
In the ten-fold cross-validation process, the CADx approach, HIENet, achieved a 76. 91 $\pm$ 1. 17% (mean $\pm$ s. d.) classification accuracy for four classes of endometrial tissue, namely normal endometrium, endometrial polyp, endometrial hyperplasia, and endometrial adenocarcinoma.