ArchGAN: A Generative Adversarial Network for Architectural Distortion Abnormalities in Digital Mammograms
Author:
Affiliation:
1. University of KwaZulu-Natal,School of Mathematics, Statistics, and Computer Science,KwaZulu-Natal,South Africa,3201
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9698246/9698247/09698751.pdf?arnumber=9698751
Reference13 articles.
1. A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography
2. Megapixel Size Image Creation using Generative Adversarial Networks;marchesi;ArXiv,2017
3. Abnormality Detection in Mammography using Deep Convolutional Neural Networks
4. Generative adversarial Network;goodfellow;NIPS,2014
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