{"paper":{"title":"Computational Imaging Priors for Wireless Capsule Endoscopy: Monte Carlo-Guided Hemoglobin Mapping for Rare-Anomaly Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengshuai Yang, Gregory Entin, Lei Xing, Lisa Casey, Raiyan Tripti Zaman, Roopa Vemulapalli","submitted_at":"2026-05-14T16:52:33Z","abstract_excerpt":"Background. RGB-trained capsule-endoscopy classifiers underperform on small-vessel vascular findings by\n  conflating hemoglobin contrast with bile and illumination falloff. Thus, here we test whether a Monte\n  Carlo-inspired analytic model can compute hemoglobin from RGB signal built upon extracted classifier.\n  Methods. On Kvasir-Capsule (47,238 frames, video-level 70/15/15 split, 11 evaluable classes) we evaluate two\n  software-only configurations against RGB-only EfficientNet-B0 across 6 seeds: (i) a prior P_blood =\n  sigma(alpha * (H_norm - 0.5)) * Phi(r) fused as 2 zero-init auxiliary cha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15062","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}