Auxiliary Diagnosis of Lung Cancer with Magnetic Resonance Imaging Data under Deep Learning

This study was aimed at two image segmentation methods of three-dimensional (3D) U-shaped network (U-Net) and multilevel boundary sensing residual U-shaped network (RUNet) and their application values on the auxiliary diagnosis of lung cancer. In this study, on the basis of the 3D U-Net segmentation...

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Detalles Bibliográficos
Autor principal: Xia, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095378/
https://www.ncbi.nlm.nih.gov/pubmed/35572829
http://dx.doi.org/10.1155/2022/1994082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095378/
https://www.ncbi.nlm.nih.gov/pubmed/35572829
http://dx.doi.org/10.1155/2022/1994082

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