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Open Access

Peer-reviewed

Research Article

The segmentation and intelligent recognition of structural surfaces in borehole images based on the U²-Net network

Qingjun Yu,

Roles Writing – original draft

Affiliation Chifengshan Jinhongling Nonferrous Mining Co., Ltd, Inner Mongolia, PR China
⨯
Guannan Wang,

Roles Investigation, Methodology

Affiliation Chifengshan Jinhongling Nonferrous Mining Co., Ltd, Inner Mongolia, PR China
⨯
Hai Cheng ,

Roles Writing – review & editing

* E-mail: ch2313799651@163.com

Affiliation Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, PR China

https://orcid.org/0009-0003-7767-9285

⨯
Wenzhi Guo,

Roles Project administration, Supervision

Affiliation Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, PR China
⨯
Yanbiao Liu

Roles Validation

Affiliation Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, PR China
⨯

The segmentation and intelligent recognition of structural surfaces in borehole images based on the U²-Net network

Qingjun Yu,
Guannan Wang,
Hai Cheng,
Wenzhi Guo,
Yanbiao Liu

x

Published: March 7, 2024
https://doi.org/10.1371/journal.pone.0299471

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