Acquisition parameters like kernel and noise produce axis-specific effects on lung-nodule AI (measurement vs detection) that a 4-feature pixel fingerprint can recover even when DICOM metadata cannot.
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI).Med Phys
3 Pith papers cite this work. Polarity classification is still indexing.
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Introduces an attention-based prototype calibration framework for few-shot multi-rater medical image segmentation to model rater variability.
An experimental study on 45 ordinal datasets finds Ordinal Gini the strongest splitting criterion among those tested, lowering MAE by over 3.02% versus nominal Gini.
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Splitting criteria for ordinal decision trees: an experimental study
An experimental study on 45 ordinal datasets finds Ordinal Gini the strongest splitting criterion among those tested, lowering MAE by over 3.02% versus nominal Gini.