Pathological Image Classification of Cancer Cell Subtypes Based on Deep Learning
Download as PDF
DOI: 10.23977/meimie.2019.43076
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