Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

Abstract

Authors

• Suneeta Chaudhary
  Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
• Elizabeth G Lane
  Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
• Allison Levy
  Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
• Anika McGrath
  Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
• Eralda Mema
  Department of Radiology, Columbia University Medical Center, 622 West 168th Street, PB-1-301, New York, NY, 10032, USA.
• Melissa Reichmann
  Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
• Katerina Dodelzon
• Katherine Simon
  Baylor College of Medicine Children's Foundation-Malawi, Lilongwe P.O. Box 110, Malawi.
• Eileen Chang
  Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
• Marcel Dominik Nickel
  MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
• Linda Moy
  1 Department of Radiology, New York University School of Medicine, 160 E 34th St, New York, NY 10016.
• Michele Drotman
  Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
• Sungheon Gene Kim
  Department of Radiology, Weill Cornell Medical College, New York, NY. Electronic address: sgk4001@med.cornell.edu.

Keywords

External Resources