Radiomic feature stability across 4D respiratory phases and its impact on lung tumor prognosis prediction

Radiomic analysis has recently demonstrated versatile uses in improving diagnostic and prognostic prediction accuracy for lung cancer. However, since lung tumors are subject to substantial motion due to respiration, the stability of radiomic features over the respiratory cycle of the patient needs t...

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Detalles Bibliográficos
Autores principales: Du, Qian, Baine, Michael, Bavitz, Kyle, McAllister, Josiah, Liang, Xiaoying, Yu, Hongfeng, Ryckman, Jeffrey, Yu, Lina, Jiang, Hengle, Zhou, Sumin, Zhang, Chi, Zheng, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504105/
https://www.ncbi.nlm.nih.gov/pubmed/31063500
http://dx.doi.org/10.1371/journal.pone.0216480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504105/
https://www.ncbi.nlm.nih.gov/pubmed/31063500
http://dx.doi.org/10.1371/journal.pone.0216480

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