Convolutional neural network-based PSO for lung nodule false positive reduction on CT images

Article ID	Journal	Published Year	Pages	File Type
6890791	Computer Methods and Programs in Biomedicine	2018	34 Pages	PDF

Abstract

The results demonstrate the high performance-potential of the PSO algorithm in the identification of optimal CNN hyperparameters for lung nodule candidate classification into nodules and non-nodules, increasing the sensitivity rates in the FP reduction step of CAD systems.

Keywords

Particle swarm optimization Medical images Convolutional neural network Lung nodules False positive reduction Deep learning

Related Topics

Physical Sciences and Engineering Computer Science Computer Science (General)

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Convolutional neural network-based PSO for lung nodule false positive reduction on CT images

Authors

Giovanni Lucca França da Silva, Thales Levi Azevedo Valente, Aristófanes CorrÃªa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass,