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...
Main Authors: | , , , |
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Format: | Online |
Language: | English |
Published: |
Hindawi Publishing Corporation
2016
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192289/ |