Quantification of Breast Arterial Calcification in Mammograms Using a UNet-Based Deep Learning for Detecting Cardiovascular Disease.

Abstract

Authors

• Wenbo Li
  Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China.
• Qiyu Zhang
  Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China.
• Dale Black
  Department of Radiological Sciences, School of Medicine, University of California, Irvine, CA 92697 (W.L., Q.Z., D.B., H.D., A.S., S.M.).
• Huanjun Ding
  Department of Radiological Sciences, School of Medicine, University of California, Irvine, CA 92697 (W.L., Q.Z., D.B., H.D., A.S., S.M.).
• Carlos Iribarren
  Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612 (C.I.).
• Alireza Shojazadeh
  Department of Radiological Sciences, School of Medicine, University of California, Irvine, CA 92697 (W.L., Q.Z., D.B., H.D., A.S., S.M.).
• Sabee Molloi
  University of California, Irvine, California, USA.

Keywords

External Resources