Self-supervised multi-organ segmentation for aging pattern exploration

doi:10.1016/j.bspc.2026.110153

2026-03-21

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DOI：10.1016/j.bspc.2026.110153

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摘要

En 中文

• 用于腹部器官形态和代理成分衰老分析的全流程SECT管道。 • AIG-MSPU利用解剖先验和多尺度融合进行鲁棒的多器官分割。 • BVTAMOS+数据集：6487个体素CT体积；14个器官共170个标注；10病例试点工作流程评估。 • 带有60和70分位节点断点的分段回归量化肾脏和肝脏衰老；代理指数补充形态学分析。

Keyword:

multi-organ segmentation

aging analysis

self-supervised learning

abdominal organs

morphological aging

期刊

Biomedical Signal Processing and Control

IF:

4.9

论文数:

1.0W

被引数:

2.4W

机构

beihang university

学者数:

5.2K

论文数: 2.0K

被引数: 21

Peking University

学者数:

1.0W

论文数: 3.8K

被引数: 14.7W

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