WRANet: wavelet integrated residual attention U-Net network for medical image segmentation

Medical image segmentation is crucial for the diagnosis and analysis of disease. Deep convolutional neural network methods have achieved great success in medical image segmentation. However, they are highly susceptible to noise interference during the propagation of the network, where weak noise can...

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Detalles Bibliográficos
Autores principales: Zhao, Yawu, Wang, Shudong, Zhang, Yulin, Qiao, Sibo, Zhang, Mufei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248349/
https://www.ncbi.nlm.nih.gov/pubmed/37361970
http://dx.doi.org/10.1007/s40747-023-01119-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248349/
https://www.ncbi.nlm.nih.gov/pubmed/37361970
http://dx.doi.org/10.1007/s40747-023-01119-y

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