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Potential-Guided Connected Network for Tiny Structure Segmentation in Medical Images

Chouyu Chen Yaotong Song Junyan Yi Lijun Guo Zhenyu Lei Shangce Gao

自动化学报（英文版）2026，Vol.13Issue(8)：1826-1841,16.

自动化学报（英文版）2026，Vol.13Issue(8)：1826-1841,16.DOI:10.1109/JAS.2025.125705

Potential-Guided Connected Network for Tiny Structure Segmentation in Medical Images

Chouyu Chen ¹Yaotong Song ¹Junyan Yi ²Lijun Guo ³Zhenyu Lei ¹Shangce Gao¹

作者信息

1. Faculty of Engineering,University of Toyama,Toyama-shi 930-8555,Japan
2. Department of Computer Science and Technology,Beijing University of Civil Engineering and Architecture,Beijing 100044,China
3. Faculty of Electrical Engineering and Computer Sciences,Ningbo University,Ningbo 315211,China
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摘要

关键词

Connected network/medical image/potential-guided/progressive inference(PI)/segmentation

Key words

Connected network/medical image/potential-guided/progressive inference(PI)/segmentation

引用本文复制引用

Chouyu Chen,Yaotong Song,Junyan Yi,Lijun Guo,Zhenyu Lei,Shangce Gao..Potential-Guided Connected Network for Tiny Structure Segmentation in Medical Images[J].自动化学报（英文版）,2026,13(8):1826-1841,16.

基金项目

This work was partially supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI(JP25K21298,JP25K03179)and Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)(JPMJSP2145). （JSPS）

自动化学报（英文版）

ISSN：2329-9266

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