medical-3
Mass Segmentation From Mammograms
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Adversarial deep structured nets for mass segmentation from mammograms
Xiaohui Xie, Gregory Hager, Wentao Zhu, Xiang Xiang, T. Tran•Mon Oct 23 2017
A novel end-to-end network for mammographic mass segmentation is proposed which employs a fully convolutional network (FCN) to model a potential function, followed by a conditional random field (CRF) to perform structured learning.
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