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Foundation model embeddings capture pre-diagnostic changes on screening mammograms

Paper recorded by Signals 4 on 2026-09-22 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.CV · 计算机视觉 · first seen 2026-09-23

Abstract

Foundation model embeddings of screening mammograms may encode pre-diagnostic tissue change without task-specific adaptation. We tested whether embeddings move faster along a data-derived "cancer direction" in women later biopsied for cancer than in matched screen-negative controls, and whether this depends on pretraining domain. We studied 1,773 biopsied women (785 malignant, 988 biopsy-negative)

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#29 most recent of 301 cs.CV papers we have recorded · ↑ newer: GeoComposer: Geometry-Grounded Photographic Composition Instruction · ↓ older: GTR: Gated Token Recurrence for Efficient Dense Prediction
Cite this page: Foundation model embeddings capture pre-diagnostic changes on screening mammograms: the #29 most recent of 301 cs.CV papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/foundation-model-embeddings-capture-pre-diagnostic-changes-on-screening-mammogra.html
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