Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Breast cancer is the second leading cancer-related cause of death among women in the US. Early detection, through routine annual screening mammography, is the best first line of defense against breast cancer. However, these screening mammograms require expert radiologists (i.e. A radiologist can spend up to 10 hours a day working through these mammograms, in the process experiencing both eye-strain and mental fatigue. Modern computer vision models, built principally on Convolutional Neural Networks (CNNs), have seen incredible progress in recent years.