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

• Principais autores: David Joon Ho (Autor), M. Herman Chui (Autor), Chad M. Vanderbilt (Autor), Jiwon Jung (Autor), Mark E. Robson (Autor), Chan-Sik Park (Autor), Jin Roh (Autor), Thomas J. Fuchs (Autor)
• Formato: Livro
• Publicado em: Elsevier, 2023-01-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: 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...