Learning U-Net Based Multi-Scale Features in Encoding-Decoding for MR Image Brain Tissue Segmentation

Accurate brain tissue segmentation of MRI is vital to diagnosis aiding, treatment planning, and neurologic condition monitoring. As an excellent convolutional neural network (CNN), U-Net is widely used in MR image segmentation as it usually generates high-precision features. However, the performance...

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Detalles Bibliográficos
Autores principales: Long, Jiao-Song, Ma, Guang-Zhi, Song, En-Min, Jin, Ren-Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124734/
https://www.ncbi.nlm.nih.gov/pubmed/34067101
http://dx.doi.org/10.3390/s21093232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124734/
https://www.ncbi.nlm.nih.gov/pubmed/34067101
http://dx.doi.org/10.3390/s21093232

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