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Predicting malignant nodules by fusing deep features with classical radiomics features
Lung cancer has a high incidence and mortality rate. Early detection and diagnosis of lung cancers is best achieved with low-dose computed tomography (CT). Classical radiomics features extracted from lung CT images have been shown as able to predict cancer incidence and prognosis. With the advanceme...
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| Gepubliceerd in: | J Med Imaging (Bellingham) |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5862127/ https://ncbi.nlm.nih.gov/pubmed/29594181 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.1.011021 |
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