A review of computer aided detection in mammography. Review uri icon

Overview

abstract

  • Breast screening with mammography is widely recognized as the most effective method of detecting early breast cancer and has consistently demonstrated a 20-40% decrease in mortality among screened women. Despite this, the sensitivity of mammography ranges between 70 and 90%. Computer aided detection (CAD) is an artificial intelligence (AI) technique that utilizes pattern recognition to highlight suspicious features on imaging and marks them for the radiologist to review and interpret. It aims to decrease oversights made by interpreting radiologists. Here we review the efficacy of CAD and potential future directions.

publication date

  • September 7, 2018

Research

keywords

  • Artificial Intelligence
  • Breast
  • Breast Neoplasms
  • Early Detection of Cancer
  • Mammography
  • Radiographic Image Interpretation, Computer-Assisted

Identity

Scopus Document Identifier

  • 85053148951

Digital Object Identifier (DOI)

  • 10.1016/j.clinimag.2018.08.014

PubMed ID

  • 30216858

Additional Document Info

volume

  • 52