Transfer Learning Based Breast Cancer Detection

Authors

  • rakesh Jain

Abstract

Deep Neural Network (DNN) is commonly employed to improve accuracy and breast cancer detection. In our research, we have analyzed pre-trained deep transfer learning models such as ResNet50, ResNet101, VGG16, and VGG19 for detecting breast cancer using 2453 histopathology images dataset. Images in the dataset were separated into two categories: those with invasive ductal carcinoma (IDC) and those without IDC

Published

2017-11-10

How to Cite

Jain, rakesh. (2017). Transfer Learning Based Breast Cancer Detection. International Journal of Statistical Computation and Simulation, 9(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/91

Issue

Vol. 9 No. 1 (2017): IJSCS

Section

Articles