Deep learning predicts chromosomal instability from histopathology images

This publication has 37 references indexed in Scilit:

• Paradoxical Relationship between Chromosomal Instability and Survival Outcome in Cancer
  Cancer Research, 2011
• DNA ploidy, nuclear size, proliferation index and DNA-hypomethylation in ovarian cancer
  Gynecologic Oncology, 2011
• Chromosomal Instability Confers Intrinsic Multidrug Resistance
  Cancer Research, 2011
• Patterns and incidence of chromosomal instability and their prognostic relevance in breast cancer subtypes
  Breast Cancer Research and Treatment, 2010
• Genomic instability in breast cancer: Pathogenesis and clinical implications
  Molecular Oncology, 2010
• Genome-wide single-nucleotide polymorphism arrays in endometrial carcinomas associate extensive chromosomal instability with poor prognosis and unveil frequent chromosomal imbalances involved in the PI3-kinase pathway
  Oncogene, 2010
• Core classification of lung cancer: Correlating nuclear size and mitoses with ploidy and clinicopathological parameters
  Lung Cancer, 2009
• Chromosomal instability determines taxane response
  Proceedings of the National Academy of Sciences, 2009
• Association between chromosomal instability and prognosis in colorectal cancer: a meta-analysis
  Gut, 2008
• A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers
  Nature Genetics, 2006