Deep adversarial domain adaptation for breast cancer screening from mammograms

Author:

Wang Yan,Feng Yangqin,Zhang Lei,Wang Zizhou,Lv Qing,Yi Zhang

Funder

National Natural Science Foundation of China National Outstanding Youth Science Fund Project

National Natural Science Foundation of China

National Science Fund for Distinguished Young Scholars

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

1. Global cancer statistics 2018: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA,2018

2. Autodial: automatic domain alignment layers;Carlucci,2017

3. Automated analysis of unregistered multi-view mammograms with deep learning;Carneiro;IEEE Trans. Med. Imaging,2017

4. N-sift: N-dimensional scale invariant feature transform for matching medical images;Cheung,2007

5. Deep convolutional neural networks for breast cancer screening;Chougrad;Comput. Methods Prog. Biomed.,2018

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5. Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

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