Ambiguous Medical Image Segmentation Using Diffusion Schrodinger Bridge

doi:10.1007/978-3-032-04965-0_3

2026-01-01

PRE

Lalith Bharadwaj Baru *

Kamalaker Dadi

Tapabrata Chakraborti *

Raju S. Bapi

DOI：10.1007/978-3-032-04965-0_3

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摘要

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由于病灶边界模糊和掩码多样性，医学图像的精确分割具有挑战性。我们引入了分割薛定谔桥（SSB），这是薛定谔桥首次应用于模糊医学图像分割，通过建模图像-掩码联合动态来提升性能。SSB保持结构完整性，无需额外指导即可界定模糊边界，并通过一种新型损失函数维持多样性。我们进一步提出多样性发散指数（D-DDI）来量化观察者间变异性，捕捉多样性与共识。SSB在LIDC-IDRI、COCA和RACER（内部）数据集上实现了最先进的表现。

Keyword:

Ambiguous Medical Image Segmentation

Schodinger Bridge

Diffusion Models

Generative Modeling

Uncertainty Quantification

期刊

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT IV

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机构

International Institute of Information Technology Hyderabad

学者数:

779

论文数: 685

被引数: 5

alan turing institute

学者数:

160

论文数: 119

被引数: 32

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