ملف الباحث

Lisa M. Ebert

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images

    2020 · Medical & Biological Engineering & Computing

    Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its clinical outcomes. Still, there are no highly accurate automated methods to correlate histolopathological images with …