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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Detalles Bibliográficos
Autores principales: Paul, Rahul, Schabath, Matthew, Balagurunathan, Yoganand, Liu, Ying, Li, Qian, Gillies, Robert, Hall, Lawrence O., Goldgof, Dmitry B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403047/
https://www.ncbi.nlm.nih.gov/pubmed/30854457
http://dx.doi.org/10.18383/j.tom.2018.00034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403047/
https://www.ncbi.nlm.nih.gov/pubmed/30854457
http://dx.doi.org/10.18383/j.tom.2018.00034

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