Author(s)

Kai Chen, Shiyi Tang, Quansheng Qin, Lianjiang Hu and Jing Ye

Corresponding Author

Kai Chen

ABSTRACT

Due to the accumulation of rich digital pathology images, the need for analysis by machine learning has increased. However, digital pathology image analysis is not the same as general machine learning image recognition. In this paper, we introduce the use of deep network algorithms to analyze pathological images, as well as special problems and possible solutions.

KEYWORDS

Machine Learning, Deep Learning, Convolutional Neural Network, TensorFlow, Cancer Pathology Tissue Image, Digital Image Analysis