Influence of segmentation margin on machine learning-based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas.
Objective: To determine the possible influence of segmentation margin on each step (feature reproducibility, selection, and classification) of the machine learning (ML)-based high-dimensional quantitative computed tomography (CT) texture analysis (qCT-TA) of renal clear cell carcinomas (RcCCs).Mater...
| Published in: | European Radiology Vol. 29; no. 9; pp. 4765 - 4776 |
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| Main Authors: | , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Springer Nature
Sep2019
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| Online Access: | View this record in EBSCOhost |