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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Bibliographische Detailangaben
Veröffentlicht in:J Med Imaging (Bellingham)
Hauptverfasser: Paul, Rahul, Hawkins, Samuel H., Schabath, Matthew B., Gillies, Robert J., Hall, Lawrence O., Goldgof, Dmitry B.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Society of Photo-Optical Instrumentation Engineers 2018
Schlagworte:
Quantitative Imaging Methods and Translational Developments–Honoring the Memory of Dr. Larry Clarke
Online Zugang: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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