Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

Computer aided detection (CAD) systems can assist radiologists by offering a second opinion on early diagnosis of lung cancer. Classification and feature representation play critical roles in false-positive reduction (FPR) in lung nodule CAD. We design a deep convolutional neural networks method for...

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Bibliographic Details
Main Authors: Li, Wei, Cao, Peng, Zhao, Dazhe, Wang, Junbo
Format: Online
Language:English
Published: Hindawi Publishing Corporation 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192289/