Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification
Medical image re-identification (MedReID) enables longitudinal patient linkage but remains vulnerable to shortcut learning and often produces decisions that clinicians cannot audit against named anatomy. We propose Graph-of-Differences (GoD), which grounds identity comparisons in explicit anatomical structure. Each image is represented as an anatomy graph whose nodes correspond to named anatomical regions; given an image pair, soft node correspondence is established, and differences are computed
Record details
Published: 19 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare · Transparency
Retrieved: 14 July 2026
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ethics.ai (19 June 2026), “Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification,” evidence record 765, https://ethics.ai/record/765 (originally published by arXiv).
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