Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

Quantitative features are generated from a tumor phenotype by various data characterization, feature-extraction approaches and have been used successfully as a biomarker. These features give us information about a nodule, for example, nodule size, pixel intensity, histogram-based information, and te...

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Bibliografische gegevens
Gepubliceerd in:Tomography
Hoofdauteurs: Paul, Rahul, Schabath, Matthew, Balagurunathan, Yoganand, Liu, Ying, Li, Qian, Gillies, Robert, Hall, Lawrence O., Goldgof, Dmitry B.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Grapho Publications, LLC 2019
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Research Articles
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6403047/
https://ncbi.nlm.nih.gov/pubmed/30854457
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2018.00034
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