Intelligent Identification of Coal Crack in CT Images Based on Deep Learning

Automatic segmentation of coal crack in CT images is of great significance for the establishment of digital cores. In addition, segmentation in this field remains challenging due to some properties of coal crack CT images: high noise, small targets, unbalanced positive and negative samples, and comp...

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Detalles Bibliográficos
Autores principales: Yu, Jinxia, Wu, Chengyi, Li, Yingying, Zhang, Yimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525749/
https://www.ncbi.nlm.nih.gov/pubmed/36193183
http://dx.doi.org/10.1155/2022/7092436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525749/
https://www.ncbi.nlm.nih.gov/pubmed/36193183
http://dx.doi.org/10.1155/2022/7092436

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