Automated and real-time segmentation of suspicious breast masses using convolutional neural network

Author:

Kumar ViksitORCID,Webb Jeremy M.,Gregory Adriana,Denis Max,Meixner Duane D.,Bayat Mahdi,Whaley Dana H.,Fatemi Mostafa,Alizad Azra

Funder

National Cancer Institute

National Cancer Coalition

National Institutes of Biomedical imaging and BioEngineering

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference32 articles.

1. Cancer statistics, 2016;RL Siegel;CA: a cancer journal for clinicians,2015

2. Breast Cancer in Developing Countries: Opportunities for Improved Survival;LN Shulman;Journal of Oncology,2010

3. New guidelines for breast cancer screening in us women;NL Keating;JAMA,2015

4. Imaging of the radiographically dense breast;VP Jackson;Radiology,1993

5. The relationship of mammographic density and age: implications for breast cancer screening;CM Checka;American Journal of Roentgenology,2012

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