Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation

• Main Authors: David Joon Ho (Author), M. Herman Chui (Author), Chad M. Vanderbilt (Author), Jiwon Jung (Author), Mark E. Robson (Author), Chan-Sik Park (Author), Jin Roh (Author), Thomas J. Fuchs (Author)
• Format: Book
• Published: Elsevier, 2023-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Deep learning has been widely used to analyze digitized hematoxylin and eosin (H&E)-stained histopathology whole slide images. Automated cancer segmentation using deep learning can be used to diagnose malignancy and to find novel morphological patterns to predict molecular subtypes. To train pix...