Medical AI Encodes a "Feeling of Error": Verifying Cancer Segmentation via Internal Concepts
Paper recorded by Signals 4 on 2026-09-08 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09
Category: cs.CV · 计算机视觉 · first seen 2026-09-09
Abstract
Cancer segmentation models can fail silently, generating plausible but incorrect masks that risk missed findings or unnecessary biopsies. A critical question arises: Do AI models "know" when they are wrong, and if so, can we use the signal to predict their own failures? Humans do have a "Feeling of Error" (FOE): a spontaneous sense of unease that flags a potential error during thinking. We investi
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Cite this page: Medical AI Encodes a "Feeling of Error": Verifying Cancer Segmentation via Internal Concepts: the #127 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/medical-ai-encodes-a-feeling-of-error-verifying-cancer-segmentation-via-internal.html
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