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Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features

To predict lung nodule malignancy with a high sensitivity and specificity for low dose CT (LDCT) lung cancer screening, we propose a fusion algorithm that combines handcrafted features (HF) into the features learned at the output layer of a 3D deep convolutional neural network (CNN). First, we extra...

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Podrobná bibliografie
Vydáno v:Phys Med Biol
Hlavní autoři: Li, Shulong, Xu, Panpan, Li, Bin, Chen, Liyuan, Zhou, Zhiguo, Hao, Hongxia, Duan, Yingying, Folkert, Michael, Ma, Jianhua, Huang, Shiying, Jiang, Steve, Wang, Jing
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7106773/
https://ncbi.nlm.nih.gov/pubmed/31307017
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab326a
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