Deep learning links histology, molecular signatures and prognosis in cancer.
Journal:
Nature cancer
Published Date:
Aug 1, 2020
Abstract
Deep learning can be used to predict genomic alterations based on morphological features learned from digital histopathology. Two independent pan-cancer studies now show that automated learning from digital pathology slides and genomics can potentially decipher broader classes of molecular signatures and prognostic associations across cancer types.