GL-Segnet: Global-Local representation learning net for medical image segmentation

Medical image segmentation has long been a compelling and fundamental problem in the realm of neuroscience. This is an extremely challenging task due to the intensely interfering irrelevant background information to segment the target. State-of-the-art methods fail to consider simultaneously address...

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Detalles Bibliográficos
Autores principales: Gai, Di, Zhang, Jiqian, Xiao, Yusong, Min, Weidong, Chen, Hui, Wang, Qi, Su, Pengxiang, Huang, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106565/
https://www.ncbi.nlm.nih.gov/pubmed/37077320
http://dx.doi.org/10.3389/fnins.2023.1153356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106565/
https://www.ncbi.nlm.nih.gov/pubmed/37077320
http://dx.doi.org/10.3389/fnins.2023.1153356

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