Cargando…
Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?
Consistency and duplicability in Computed Tomography (CT) output is essential to quantitative imaging for lung cancer detection and monitoring. This study of CT-detected lung nodules investigated the reproducibility of volume-, density-, and texture-based features (outcome variables) over routine ra...
Autores principales: | Erdal, Barbaros S., Demirer, Mutlu, Little, Kevin J., Amadi, Chiemezie C., Ibrahim, Gehan F. M., O’Donnell, Thomas P., Grimmer, Rainer, Gupta, Vikash, Prevedello, Luciano M., White, Richard D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561205/ https://www.ncbi.nlm.nih.gov/pubmed/33057454 http://dx.doi.org/10.1371/journal.pone.0240184 |
Ejemplares similares
-
Radiology and Enterprise Medical Imaging Extensions (REMIX)
por: Erdal, Barbaros S., et al.
Publicado: (2017) -
Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions
por: White, Richard D., et al.
Publicado: (2022) -
Integrating AI into radiology workflow: levels of research, production, and feedback maturity
por: Dikici, Engin, et al.
Publicado: (2020) -
Reproducibility of radiomic features in CT images of NSCLC patients: an integrative analysis on the impact of acquisition and reconstruction parameters
por: Rinaldi, Lisa, et al.
Publicado: (2022) -
Efficiency and reproducibility in pulmonary nodule detection in simulated dose reduction lung CT images
por: Kubo, Takeshi, et al.
Publicado: (2019)