no code implementations • 27 Nov 2022 • Heather D. Couture
Dozens of studies over the last few years have demonstrated that a variety of molecular biomarkers can be predicted from H&E alone using the advancements of deep learning: molecular alterations, genomic subtypes, protein biomarkers, and even the presence of viruses.
1 code implementation • 17 Jul 2019 • Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa Troester, Charles M. Perou, Marc Niethammer
Canonical Correlation Analysis (CCA) is widely used for multimodal data analysis and, more recently, for discriminative tasks such as multi-view learning; however, it makes no use of class labels.
no code implementations • 13 Jun 2018 • Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer
We propose a new method for aggregating predictions from smaller regions of the image into an image-level classification by using the quantile function.