Predicting survival time of lung cancer patients using radiomic analysis

OBJECTIVES: This study investigates the prediction of Non-small cell lung cancer (NSCLC) patient survival outcomes based on radiomic texture and shape features automatically extracted from tumor image data. MATERIALS AND METHODS: Retrospective analysis involves CT scans of 315 NSCLC patients from Th...

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Detalles Bibliográficos
Autores principales: Chaddad, Ahmad, Desrosiers, Christian, Toews, Matthew, Abdulkarim, Bassam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732814/
https://www.ncbi.nlm.nih.gov/pubmed/29262648
http://dx.doi.org/10.18632/oncotarget.22251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732814/
https://www.ncbi.nlm.nih.gov/pubmed/29262648
http://dx.doi.org/10.18632/oncotarget.22251

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