Assessing detectability improvement of a self-supervised noise reduction algorithm for phase-sensitive breast tomosynthesis phantom images-Reference-Cited by-同舟云学术

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Assessing detectability improvement of a self-supervised noise reduction algorithm for phase-sensitive breast tomosynthesis phantom images

Published:2024-03-12 Issue: Volume:12380 Page:31
ISSN:
Container-title:Biophotonics and Immune Responses XIX
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Author:

Nelson Jared,Chen Xuxin,Li Yuhua,Omoumi Farid H.,Wong Molly D.,Liu Hong

Publisher

SPIE

Reference13 articles.

1. The impact of external filtration on image quality and exposure time of an in-line phase-contrast x-ray breast imaging prototype;Omoumi,2023

2. A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis

3. Accreditation Support. (2023, November 22). Phantom Testing: Mammography (Revised 11-22-2023). Retrieved December 22, 2023, from https://accreditationsupport.acr.org/support/solutions/articles/11000065938-phantom-testing-mammography-revised-11-22-2023-

4. A High Resolution Scanning Slot X-Ray Imaging Detector for Digital Mammography.

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