Search Results for author:
Found 3 papers, 1 papers with code
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
In a quest to answer this question, we built a large-scale dataset (185538 images) with reliable measurements for Ki67, ER, PR, and HER2 statuses.
GPEX, A Framework For Interpreting Artificial Neural Networks
Using our method we find out that on 5 datasets, only a subset of those theoretical assumptions are sufficient.
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection
Thanks to the SC/CS recovery algorithm (L1 optimization) that can recover sparse cell locations from the output of CNN.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
