Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs

We present a hybrid algorithm to estimate lung nodule malignancy that combines imaging biomarkers from Radiologist’s annotation with image classification of CT scans. Our algorithm employs a 3D Convolutional Neural Network (CNN) as well as a Random Forest in order to combine CT imagery with biomarke...

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Detalles Bibliográficos
Autores principales: Mehta, Kushal, Jain, Arshita, Mangalagiri, Jayalakshmi, Menon, Sumeet, Nguyen, Phuong, Chapman, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329152/
https://www.ncbi.nlm.nih.gov/pubmed/33532893
http://dx.doi.org/10.1007/s10278-020-00417-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329152/
https://www.ncbi.nlm.nih.gov/pubmed/33532893
http://dx.doi.org/10.1007/s10278-020-00417-y

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