Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation - researchr publication related

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Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers. Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. In Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang, editors, Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, pages 35-48, Springer, 2017. [doi]

The following publications are possibly variants of this publication:

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View AggregationHolger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers. tmi, 35(5):1170-1181, 2016. [doi]

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