Deep-learning-based background parenchymal enhancement quantification in contrast enhanced mammography: an application to neoadjuvant chemotherapy-Reference-Cited by-同舟云学术

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Deep-learning-based background parenchymal enhancement quantification in contrast enhanced mammography: an application to neoadjuvant chemotherapy

Published:2024-05-29 Issue: Volume:91 Page:27
ISSN:
Container-title:17th International Workshop on Breast Imaging (IWBI 2024)
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Author:

Ripaud Elodie,Jailin Clément,Quintana Gonzalo I.,de Carvalho Pablo Milioni,Mohamed Sara,Moustafa Amr F.,Kamal Rasha M.,Vancamberg Laurence

Publisher

SPIE

Reference13 articles.

1. Contrast-enhanced Mammography: State of the Art;Jochelson;Radiology 2021,2021

2. Background Parenchymal Enhancement at Contrast-Enhanced Spectral Mammography (CESM) as a Breast Cancer Risk Factor

3. CONTRAST ENHANCED MAMMOGRAPHY (CEM) A Supplement to ACR BI-RADS® Mammography 2013;Lee;American College of Radiology, VA, USA,2022

4. Training Radiologists to Interpret Contrast-enhanced Mammography: Toward a Standardized Lexicon

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