Evaluation of deep learning-based artificial intelligence techniques for breast cancer detection on mammograms: Results from a retrospective study using a BreastScreen Victoria dataset.

Journal: Journal of medical imaging and radiation oncology

PMID: 34212526

Abstract

INTRODUCTION: This study aims to evaluate deep learning (DL)-based artificial intelligence (AI) techniques for detecting the presence of breast cancer on a digital mammogram image.

Authors

Helen Ml Frazer

St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia.
Alex K Qin

Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, Victoria, Australia.
Hong Pan

Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Peter Brotchie

St Vincent's Hospital, Melbourne, Victoria, Australia.

Keywords

Breast Neoplasms Deep Learning Female Humans Mammography Prospective Studies Retrospective Studies Victoria

External Resources

View on PubMed Access via DOI PubMed (34212526)

Evaluation of deep learning-based artificial intelligence techniques for breast cancer detection on mammograms: Results from a retrospective study using a BreastScreen Victoria dataset.

Abstract

Authors

Keywords

External Resources

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