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Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography
SIMPLE SUMMARY: Discovery of predictive and prognostic radiomic features in cancer is currently of great interest to the radiologic and oncologic community. Tumor phenotypic and prognostic information can be obtained by extracting features on tumor segmentations, and it is typically imaging analysts...
Autores principales: | Hershman, Michelle, Yousefi, Bardia, Serletti, Lacey, Galperin-Aizenberg, Maya, Roshkovan, Leonid, Luna, José Marcio, Thompson, Jeffrey C., Aggarwal, Charu, Carpenter, Erica L., Kontos, Despina, Katz, Sharyn I. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657389/ https://www.ncbi.nlm.nih.gov/pubmed/34885094 http://dx.doi.org/10.3390/cancers13235985 |
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