Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose during Digital Breast Tomosynthesis

In this study, we evaluated the improvement of image quality in digital breast tomosynthesis under low-radiation dose conditions of pre-reconstruction processing using conditional generative adversarial networks [cGAN (pix2pix)]. Pix2pix pre-reconstruction processing with filtered back projection (F...

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Bibliographic Details
Main Authors: Tsutomu Gomi, Yukie Kijima, Takayuki Kobayashi, Yukio Koibuchi
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/12/2/495