This work was supported in part by the Science and Technology Major Project of Hubei Province (Next-Generation AI Technologies) under Grant 2019AEA170. We collected 3,302 pathologically proven JPEG files of digital histopathological images of the endometrium. This dataset is available for download at figshare. For researchers who are interested in this dataset and the related algorithms, you can feel free to download and use them. Also, if you think that the dataset and our method are useful for your work, please help cite the following paper.
Hao Sun, Xianxu Zeng, Tao Xu, Gang Peng, and Yutao Ma, "Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms," IEEE Journal of Biomedical and Health Informatics, 2020, 24(6): 1664-1676.
- Python version >= 3.6.5
- Tensorflow >= 1.2.0
- Keras >= 2.1.3