Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

    Classification of malignancy for breast cancer and other cancer types is usually tackled as an object detection problem: Individual lesions are first localized and then classified with respect to malignancy. H...

    Christoph Haarburger, Michael Baumgartner in Medical Image Computing and Computer Assis… (2019)

  2. No Access

    Chapter and Conference Paper

    Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images

    In clinical contexts with very limited annotated data, such as breast cancer diagnosis, training state-of-the art deep neural networks is not feasible. As a solution, we transfer parameters of networks pretrai...

    Christoph Haarburger, Peter Langenberg in Bildverarbeitung für die Medizin 2018 (2018)