most citedMulti-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.CV2017

Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks

Masaharu Sakamoto, Hiroki Nakano, Kun Zhao +1

Lung nodule classification is a class imbalanced problem, as nodules are found with much lower frequency than non-nodules. In the class imbalanced problem, conventional classifiers…

cs.CV2017★ 2 cited

Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images

Masaharu Sakamoto, Hiroki Nakano, Kun Zhao +1

Lung nodule classification is a class imbalanced problem because nodules are found with much lower frequency than non-nodules. In the class imbalanced problem, conventional classif…