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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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| Publicado no: | Phys Med Biol |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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