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Evidence record 14859 · automatically gathered

Shape-Based Inductive Bias for Glioma Grading from Tumor Contours

Glioma grading from tumor contours is often treated as a pixel problem even when the signal of interest is shape. We align closed contours with a functional shape-alignment framework, separate global deformation from residual Fourier shape, and organize these quantities as frequency-ordered tokens. In five-fold patient-disjoint cross-validation on BraTS~2020 tumor contours, with model selection performed using grouped inner validation, a compact multilayer perceptron (MLP) achieves the highest m

Record details

Published: 27 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Bias & fairness · Safety & alignment · Healthcare
Retrieved: 30 July 2026

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How to cite this record

ethics.ai (27 July 2026), “Shape-Based Inductive Bias for Glioma Grading from Tumor Contours,” evidence record 14859, https://ethics.ai/record/14859 (originally published by arXiv cs.LG).

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