Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma

Lung cancer is the most common cause of cancer-related deaths in the USA. It can be detected and diagnosed using computed tomography images. For an automated classifier, identifying predictive features from medical images is a key concern. Deep feature extraction using pretrained convolutional neura...

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Detalles Bibliográficos
Autores principales: Paul, Rahul, Hawkins, Samuel H., Balagurunathan, Yoganand, Schabath, Matthew B., Gillies, Robert J., Hall, Lawrence O., Goldgof, Dmitry B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2016
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5218828/
https://www.ncbi.nlm.nih.gov/pubmed/28066809
http://dx.doi.org/10.18383/j.tom.2016.00211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5218828/
https://www.ncbi.nlm.nih.gov/pubmed/28066809
http://dx.doi.org/10.18383/j.tom.2016.00211

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