Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models

Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/delving-aleatoric-uncertainty-in-medical-image-segmentation-via-vision-foundation-models

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Proof freshness: stale
Proof status: verified
Display score: 7/10
Last proof check: 2026-04-14
Score updated: 2026-04-14
Score fresh until: 2026-05-14
References: 0
Source count: 4
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID delving-aleatoric-uncertainty-in-medical-image-segmentation-via-vision-foundation-models | Route /signal-canvas/delving-aleatoric-uncertainty-in-medical-image-segmentation-via-vision-foundation-models

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/delving-aleatoric-uncertainty-in-medical-image-segmentation-via-vision-foundation-models

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models

PDF: https://arxiv.org/pdf/2604.10963v1

Source count: 4

Coverage: 50%

Last proof check: 2026-04-14T20:32:59.568Z

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Subject: Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models

Verdict

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Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models

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