Evaluation of a deep learning-based software to automatically detect and quantify breast arterial calcifications on digital mammogram

This publication has 27 references indexed in Scilit:

• Assessing breast arterial calcification in mammograms and its implications for atherosclerotic cardiovascular disease risk
  Clinical Imaging, 2024
• Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach
  European Radiology, 2023
• How to report and compare quantitative variables in a radiology article
  Diagnostic and Interventional Imaging, 2022
• Breast arterial calcifications on mammography: a new marker of cardiovascular risk in asymptomatic middle age women?
  European Radiology, 2022
• Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists’ awareness, reporting, and action. A survey among the EUSOBI members
  European Radiology, 2020
• Radiology and artificial intelligence: An opportunity for our specialty
  Diagnostic and Interventional Imaging, 2018
• Breast microcalcifications: The lesions in anatomical pathology
  Diagnostic and Interventional Imaging, 2014
• Framingham risk equation underestimates subclinical atherosclerosis risk in asymptomatic women
  Atherosclerosis, 2006
• Using the Coronary Artery Calcium Score to Predict Coronary Heart Disease Events
  Archives of internal medicine (1960), 2004
• Quantification of coronary artery calcium using ultrafast computed tomography
  JACC, 1990