Pytorch Deep learning Approach for Detection of Breast Cancer by Digital Holographic Method

Abstract

The digital holographic method performs quantitative analysis of phase images. This interferometric method gives access to biophysical attributes of cells such as refractive index, dry mass, volume, and morphology. Pytorch deep learning library with transfer learning is employed thereby improving the classification accuracy of breast cancer tissues.