Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.

Journal: European journal of radiology

Published Date: Dec 5, 2017

Abstract

OBJECTIVE: To evaluate whether the use of a computer-aided diagnosis-contrast-enhanced spectral mammography (CAD-CESM) tool can further increase the diagnostic performance of CESM compared with that of experienced radiologists.

Authors

Bhavika K Patel

Mayo Clinic, Department of Radiology, Scottsdale, AZ, USA.
Sara Ranjbar

Mayo Clinic, Scottsdale, Dept. of Research.
Teresa Wu

ASU-Mayo Center for Innovative Imaging, Tempe, Arizona, United States of America.
Barbara A Pockaj

Mayo Clinic, Scottsdale, Department of General Surgery.
Jing Li

Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
Nan Zhang

Department of Pulmonary and Critical Care Medicine II, Emergency General Hospital, Beijing, China.
Mark Lobbes

Maastricht University Medical Center, Maastricht, Netherlands, Department of Radiology.
Bin Zhang

Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
J Ross Mitchell

Mayo Clinic, Scottsdale, Dept. of Research.

Keywords

Algorithms Breast Breast Neoplasms Contrast Media Diagnosis, Computer-Assisted Feasibility Studies Female Humans Image Enhancement Image Processing, Computer-Assisted Mammography Middle Aged Reproducibility of Results Retrospective Studies Sensitivity and Specificity Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (29279165)

Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.

Abstract

Authors

Keywords

External Resources

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