Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet

Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet

Coal CT image fracture segmentation plays a critical role in fracture information acquisition, and its segmentation accuracy directly determines the quality of pore-fracture spatial reconstruction. Current coal CT image fracture segmentation faces multiple challenges, including complex fracture morp...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Fracture segmentation
Convolutional neural network
Deep learning
CBAM
Residual Network
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025025976
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2590123025025976

Similar Items