Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.

Journal: The British journal of radiology

Published Date: Feb 1, 2018

Abstract

OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound images and to compare its performance to human readers with variable breast imaging experience.

Authors

Anton S Becker

From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Michael Mueller

1 Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich , Zurich , Switzerland.
Elina Stoffel

1 Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich , Zurich , Switzerland.
Magda Marcon
Soleen Ghafoor
Andreas Boss

Keywords

Adolescent Adult Aged Aged, 80 and over Algorithms Breast Neoplasms Clinical Competence Female Humans Image Interpretation, Computer-Assisted Machine Learning Middle Aged Observer Variation Retrospective Studies Software Switzerland Ultrasonography, Mammary

External Resources

View on PubMed Access via DOI PubMed (29215311)

Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals