Characterization of indeterminate breast lesions on B-mode ultrasound using automated machine learning models-Reference-Cited by-同舟云学术

Characterization of indeterminate breast lesions on B-mode ultrasound using automated machine learning models

Published:2020-10-23 Issue:05 Volume:7 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Wang Shuo¹,Niu Sihua²,Qu Enze³,Forsberg Flemming⁴,Wilkes Annina⁴,Sevrukov Alexander⁴,Nam Kibo⁴,Mattrey Robert F.⁵,Ojeda-Fournier Haydee⁶,Eisenbrey John R.⁴

Affiliation:

1. Drexel University, School of Biomedical Engineering, Science, and Health Systems, Philadelphia, Penn

2. Peking University People’s Hospital, Department of Ultrasound, Beijing

3. The Third Affiliated Hospital of Sun Yat-Sen University, Department of Ultrasound, Guangzhou

4. Thomas Jefferson University, Department of Radiology, Philadelphia, Pennsylvania

5. UT Southwestern, Cancer Prevention Research Institute of Texas, Department of Radiology, Dallas, Tex

6. University of California, Department of Radiology, San Diego, California

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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1. Cancer statistics, 2019

2. Associations between persistent organic pollutants and risk of breast cancer metastasis

3. The case for early detection

4. Screening Breast Ultrasound: Past, Present, and Future

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