CorteXpert: A model-based method for automatic renal cortex segmentation.
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- Record sourced from PubMed, PMID 28888170.
- Also identified by DOI 10.1016/j.media.2017.06.010.
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Abstract
This paper introduces a model-based approach for a fully automatic delineation of kidney and cortex tissue from contrast-enhanced abdominal CT scans. The proposed framework, named CorteXpert, consists of two new strategies for kidney tissue delineation: cortex model adaptation and non-uniform graph search. CorteXpert was validated on a clinical data set of 58 CT scans using the cross-validation evaluation strategy. The experimental results indicated the state-of-the-art segmentation accuracies (as dice coefficient): 97.86% ± 2.41% and 97.48% ± 3.18% for kidney and renal cortex delineations, respectively.
Medical subject headings
- Algorithms
- Kidney Cortex
- Radiographic Image Interpretation, Computer-Assisted
- Tomography, X-Ray Computed