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Toward robust mammography-based models for breast cancer risk

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Science Translational Medicine  27 Jan 2021:
Vol. 13, Issue 578, eaba4373
DOI: 10.1126/scitranslmed.aba4373

Article Information

vol. 13 no. 578

PubMed: 
Print ISSN: 
Online ISSN: 
History: 
  • Received for publication May 4, 2020
  • Resubmitted July 24, 2020
  • Accepted for publication December 21, 2020
  • .

Author Information

  1. Adam Yala1,2,*,
  2. Peter G. Mikhael1,2,
  3. Fredrik Strand3,4,
  4. Gigin Lin5,
  5. Kevin Smith6,7,
  6. Yung-Liang Wan5,
  7. Leslie Lamb8,
  8. Kevin Hughes9,
  9. Constance Lehman8, and
  10. Regina Barzilay1,2,
  1. 1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  2. 2Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  3. 3Breast Radiology Unit, Department of Imaging and Physiology, Karolinska University Hospital, 17164 Solna, Sweden.
  4. 4Department of Oncology-Pathology, Karolinska Institute, 17164 Solna, Sweden.
  5. 5Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan.
  6. 6School of Electrical Engineering and Computer, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
  7. 7Science for Life Laboratory, 17165 Solna, Sweden.
  8. 8Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
  9. 9Division of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
  1. *Corresponding author. Email: adamyala{at}csail.mit.edu
  • Joint senior authors.

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