A Systematic Approach to Identify the Breast Cancer Grades in
Histopathological Images Using Deep Neural Networks
The main intent of the research is to develop an automated application
that can determine the Nottingham Histologic Score of a given input
histopathological image obtained from breast cancer or healthy tissues
with DenseNet based architecture. In this study, we were able to obtain
more than 94% accuracy rates for each trained model including
2-predict, 3-predict, and 4-predict networks.