Search Results for author:
Found 5 papers, 0 papers with code
Magnifying Networks for Images with Billions of Pixels
However, deep neural networks are trained on images with resolutions that rarely exceed $1, 000 \times 1, 000$ pixels.
Sequential Normalization: an improvement over Ghost Normalization
Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization.
A New Look at Ghost Normalization
Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization.
Deep Learning for Whole Slide Image Analysis: An Overview
The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis.
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles
Digital pathology (DP) is a new research area which falls under the broad umbrella of health informatics.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
