Using convolutional neural networks to discriminate between cysts and masses in Monte Carlo‐simulated dual‐energy mammography-Reference-Cited by-同舟云学术

Using convolutional neural networks to discriminate between cysts and masses in Monte Carlo‐simulated dual‐energy mammography

Published:2021-07-05 Issue:8 Volume:48 Page:4648-4655
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Makeev Andrey¹,Toner Brian²,Qian Marian³,Badal Andreu¹,Glick Stephen J.¹

Affiliation:

1. Division of Imaging Diagnostics, and Software Reliability Office of Scientific and Engineering Laboratories Center for Devices and Radiological Health U.S. Food & Drug Administration Silver Spring MD 20903 USA

2. Program in Applied Mathematics University of Arizona Tucson AZ 85721 USA

3. Thomas Jefferson High School for Science and Technology Alexandria VA 22312 USA

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15005

Reference18 articles.

1. Recall and Cancer Detection Rates for Screening Mammography: Finding the Sweet Spot

2. Probably Benign Breast Lesions: When Should Follow-up Be Recommended and What Is the Optimal Follow-up Protocol?

3. Characterization of Cystic Lesions by Spectral Mammography

4. Measurement of breast-tissue x-ray attenuation by spectral mammography: solid lesions

5. Contrast-enhanced spectral mammography with a photon-counting detector

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