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BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net

Paper recorded by Signals 4 on 2026-09-01 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-01 on arXiv · recorded by Signals 4 on 2026-09-02

Category: cs.AI · 人工智能 · first seen 2026-09-02

Abstract

Automated lesion segmentation in whole-body PET/CT is complicated by the variety of physiological tracer uptake patterns and by the differing appearance of lesions across tracers. The autoPET/CT V challenge addresses this by making segmentation interactive: user scribbles marking foreground and background are supplied alongside the image, and the algorithm is expected to exploit them. We present o

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#232 most recent of 300 cs.AI papers we have recorded · ↑ newer: Retrieved but not ranked: surface-form bias in structural retrieval, f · ↓ older: Can LLMs Discover Scientific Laws in Real and Parallel Worlds?
Cite this page: BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net: the #232 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bs-take-the-hint-interactive-multitracer-pet-ct-lesion-segmentation-with-a-scrib.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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