Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks

This work focused on the application value of magnetic resonance imaging (MRI) image segmentation algorithm based on fully convolutional DenseNet neural network (FCDNN) in glioma diagnosis. In this work, based on the fully convolutional DenseNet algorithm, a new MRI image automatic semantic segmenta...

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Detalles Bibliográficos
Autores principales: Dong, Jie, Zhang, Yueying, Meng, Yun, Yang, Tingxiao, Ma, Wei, Wu, Huixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592238/
https://www.ncbi.nlm.nih.gov/pubmed/36299467
http://dx.doi.org/10.1155/2022/8619690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592238/
https://www.ncbi.nlm.nih.gov/pubmed/36299467
http://dx.doi.org/10.1155/2022/8619690

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