Generating Full-Field Digital Mammogram From Digitized Screen-Film Mammogram for Breast Cancer Screening With High-Resolution Generative Adversarial Network

Generating Full-Field Digital Mammogram From Digitized Screen-Film Mammogram for Breast Cancer Screening With High-Resolution Generative Adversarial Network

PurposeDeveloping deep learning algorithms for breast cancer screening is limited due to the lack of labeled full-field digital mammograms (FFDMs). Since FFDM is a new technique that rose in recent decades and replaced digitized screen-film mammograms (DFM) as the main technique for breast cancer sc...

Full description

Bibliographic Details
Main Authors: Yuanpin Zhou, Jun Wei, Dongmei Wu, Yaqin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Oncology
Subjects:
high resolution
conditional generative adversarial network
deep learning
breast cancer screening
mammography
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.868257/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.868257/full

Similar Items