FemNet: Distilling Responsible Frames from Ultrasound Cineclips of Breast Cancer Screening Using Feature Entropy Empowered Deep Learning-Reference-Cited by-同舟云学术

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FemNet: Distilling Responsible Frames from Ultrasound Cineclips of Breast Cancer Screening Using Feature Entropy Empowered Deep Learning

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Jiang Yitao,Wu Huaiyu,Cui Chen,Shi Siyuan,Ye Xiuqin,Tian Hongtian,Song Di,Yao Jincao,Wang Liping,Zhang Mei,Liu Yan,Sui Wenhai,Huang Sijing,Yang Keen,Chen Jing,Xu Jinfeng,Xu Dong,Dong Fajin,Zhang Yun

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference33 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;H Sung;CA Cancer J Clin,2021

2. Cancer incidence and mortality in China;W Chen;Cancer Lett,2013

3. Differences in mammographic density between Asian and Caucasian populations: a comparative analysis;N Rajaram;Breast cancer research,2017

4. Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images;Y Zhou;Medical Image Analysis,2021

5. Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach;W Lotter;Nat Med,2021

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