Breast cancer histopathological images classification using a hybrid deep neural network

A dataset with 3771 breast cancer pathological images for four class (normal, benign, in situ and invasive) classification is released. Because the dataset is too large, we split the dataset into two folders for easy downloading.. The folder named breast_cancer_pathological_image_1.rar contain 1319 pathological images, and breast_cancer_pathological_image_1.rar contain 2452 pathological images.

Citation:
Yan Rui, Ren Fei, Wang Zihao, et al. Breast cancer histopathological image classification using a hybrid deep neural network[J]. Methods, 2019. [Read full article]

To get the download link of the dataset, please send all the following information to yanrui666666@gmail.com, including: username, nationality, email, work or study institution, position (professor, researcher, doctoral student, master student or undergraduate student). It would be nice if you could attach a website link which describes you or your department.
We will send you the download link of the dataset by email immediately after the approval.
It should be noted that the data downloaded by users can only be used for non-commercial purposes such as scientific research. If you have any questions, please contact Rui Yan at yanrui666666@gmail.com.