Forming Local Intersections of Projections for Classifying and Searching Histopathology Images

no code implementations • 8 Aug 2020 • Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid. R. Tizhoosh

In this paper, we propose a novel image descriptor called Forming Local Intersections of Projections (FLIP) and its multi-resolution version (mFLIP) for representing histopathology images.

Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks

no code implementations • 11 Oct 2017 • Brady Kieffer, Morteza Babaie, Shivam Kalra, H. R. Tizhoosh

We explore the problem of classification within a medical image data-set based on a feature vector extracted from the deepest layer of pre-trained Convolution Neural Networks.

General Classification Image Classification +2