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Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas
Lung adenocarcinoma (ADC), the most common lung cancer type, is recognized increasingly as a disease spectrum. To guide individualized patient care, a non-invasive means of distinguishing indolent from aggressive ADC subtypes is needed urgently. Computer-Aided Nodule Assessment and Risk Yield (CANAR...
Autores principales: | Nakajima, Erica C., Frankland, Michael P., Johnson, Tucker F., Antic, Sanja L., Chen, Heidi, Chen, Sheau-Chiann, Karwoski, Ronald A., Walker, Ronald, Landman, Bennett A., Clay, Ryan D., Bartholmai, Brian J., Rajagopalan, Srinivasan, Peikert, Tobias, Massion, Pierre P., Maldonado, Fabien |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983856/ https://www.ncbi.nlm.nih.gov/pubmed/29856852 http://dx.doi.org/10.1371/journal.pone.0198118 |
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