Researchers have developed a new radiomic framework that accounts for voxel spacing in medical imaging, specifically computed tomography (CT) and magnetic resonance imaging (MRI). This voxel-spacing-aware (VS) method aims to disentangle true voxel geometry from signal modifications caused by interpolation, a common issue in anisotropic images. Experiments showed that the VS approach closely matches native, non-resampled extraction (NR) in terms of agreement and preserves predictive performance, offering a more coherent alternative for radiomic analysis. AI
IMPACT This research could improve the accuracy and reliability of radiomic analyses in medical imaging, potentially leading to better diagnostic and prognostic models.
RANK_REASON The cluster contains an arXiv preprint detailing a new methodology for radiomic analysis.
- computed tomography
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