Symmetry-based regularization in deep breast cancer screening

Author:

Castro EduardoORCID,Costa Pereira JoseORCID,Cardoso Jaime S.

Funder

European Regional Development Fund

Nvidia

Canadian Mennonite University

Fundação para a Ciência e a Tecnologia

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

Reference79 articles.

1. Deep learning for mass detection in full field digital mammograms;Agarwal;Comput. Biol. Med.,2020

2. Breast cancer screening programmes across the WHO European region: Differences among countries based on national income level;Altobelli;Int. J. Environ. Res. Public Health,2017

3. DCGANs for realistic breast mass augmentation in X-ray mammography;Alyafi,2019

4. American Cancer Society. Cancer Facts & Figures 2021;American Cancer Society,2021

5. Representation learning for mammography mass lesion classification with convolutional neural networks;Arevalo;Comput. Methods Programs Biomed.,2016

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