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Systematic analysis of bias and variability of morphologic features for lung lesions in computed tomography
We propose to characterize the bias and variability of quantitative morphology features of lung lesions across a range of computed tomography (CT) imaging conditions. A total of 15 lung lesions were simulated (five in each of three spiculation classes: low, medium, and high). For each lesion, a seri...
Gespeichert in:
| Veröffentlicht in: | J Med Imaging (Bellingham) |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6434334/ https://ncbi.nlm.nih.gov/pubmed/30944842 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.1.013504 |
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