Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.

Journal: JAMA network open
PMID: 31348505

Abstract

IMPORTANCE: Immunohistochemistry (IHC) is the most widely used assay for identification of molecular biomarkers. However, IHC is time consuming and costly, depends on tissue-handling protocols, and relies on pathologists' subjective interpretation. Image analysis by machine learning is gaining ground for various applications in pathology but has not been proposed to replace chemical-based assays for molecular detection.

Authors

  • Gil Shamai
    Department of Electrical Engineering, Technion Israel Institute of Technology, Haifa, Israel.
  • Yoav Binenbaum
    Laboratory of Pediatric Oncology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Ron Slossberg
    Departmemt of Computer Science, Technion Israel Institute of Technology, Haifa, Israel.
  • Irit Duek
    Department of Otolaryngology-Head and Neck Surgery, Rambam Health Care Campus, Haifa, Israel.
  • Ziv Gil
    Laboratory for Applied Cancer Research, Rambam Healthcare Campus, Rappaport Institute of Medicine and Research, Haifa, Israel.
  • Ron Kimmel
    Departmemt of Computer Science, Technion Israel Institute of Technology, Haifa, Israel.

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