research
∙
06/02/2023
Publicly available datasets of breast histopathology H E whole-slide images: A systematic review
Advancements in digital pathology and computing resources have made a si...
share
research
∙
03/10/2023
What is the state of the art? Accounting for multiplicity in machine learning benchmark performance
Machine learning methods are commonly evaluated and compared by their pe...
research
∙
02/14/2022
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images
Increased levels of tumor infiltrating lymphocytes (TILs) in cancer tiss...
research
∙
03/12/2018
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
We have replicated some experiments in 'Development and validation of a ...
research
∙
03/07/2018
A bag-to-class divergence approach to multiple-instance learning
In multi-instance (MI) learning, each object (bag) consists of multiple ...
research
∙
02/05/2018
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
Melanoma is the deadliest form of skin cancer. Computer systems can assi...
research
∙
09/21/2016