Scatter correction with deep learning approach for contrast enhanced digital breast tomosynthesis (CEDBT) in both cranio-caudal (CC) view and mediolateral oblique (MLO) view-Reference-Cited by-同舟云学术

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Scatter correction with deep learning approach for contrast enhanced digital breast tomosynthesis (CEDBT) in both cranio-caudal (CC) view and mediolateral oblique (MLO) view

Published:2020-05-22 Issue: Volume: Page:
ISSN:
Container-title:15th International Workshop on Breast Imaging (IWBI2020)
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Author:

Duan Xiaoyu,Sahu Pranjal,Huang Hailiang,Zhao Wei

Publisher

SPIE

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep learning approach to estimate x‐ray scatter in digital breast tomosynthesis: From phantom models to clinical applications;Medical Physics;2023-07-02

2. Deep-learning convolutional neural network-based scatter correction for contrast enhanced digital breast tomosynthesis in both cranio-caudal and mediolateral-oblique views;Journal of Medical Imaging;2023-03-15

3. A feasibility study on deep‐neural‐network‐based dose‐neutral dual‐energy digital breast tomosynthesis;Medical Physics;2022-11-03

4. Deep‐learning‐based projection‐domain breast thickness estimation for shape‐prior iterative image reconstruction in digital breast tomosynthesis;Medical Physics;2022-03-30

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