Description

The purpose of the project is to develop methods for performing automated cancer diagnoses in different types of histopathological images using use machine learning and medical image analysis. The aim is to improve standardization in performing cancer diagnoses in clinical practice. Methods have currently been developed mainly to detect cancer in histopathological images stained with hematoxylin and eosin (H&E). 
Short titleDigital Pathology
StatusActive
Effective start/end date01/12/2015 → …

Keywords

  • Artificial Neural Networks
  • deep learning
  • Machine learning
  • cancer
  • H&E
  • IHC