Deep learning for survival analysis in breast cancer with whole slide image data.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jul 11, 2022
Abstract
MOTIVATION: Whole slide tissue images contain detailed data on the sub-cellular structure of cancer. Quantitative analyses of this data can lead to novel biomarkers for better cancer diagnosis and prognosis and can improve our understanding of cancer mechanisms. Such analyses are challenging to execute because of the sizes and complexity of whole slide image data and relatively limited volume of training data for machine learning methods.