Cargando…
3D‐MASNet: 3D mixed‐scale asymmetric convolutional segmentation network for 6‐month‐old infant brain MR images
Precise segmentation of infant brain magnetic resonance (MR) images into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) are essential for studying neuroanatomical hallmarks of early brain development. However, for 6‐month‐old infants, the extremely low‐intensity contrast caused b...
Autores principales: | Zeng, Zilong, Zhao, Tengda, Sun, Lianglong, Zhang, Yihe, Xia, Mingrui, Liao, Xuhong, Zhang, Jiaying, Shen, Dinggang, Wang, Li, He, Yong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921327/ https://www.ncbi.nlm.nih.gov/pubmed/36515219 http://dx.doi.org/10.1002/hbm.26174 |
Ejemplares similares
-
4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation
por: Wang, Li, et al.
Publicado: (2013) -
Automated segmentation of liver segment on portal venous phase MR images using a 3D convolutional neural network
por: Han, Xinjun, et al.
Publicado: (2022) -
Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network
por: Tomita, Naofumi, et al.
Publicado: (2020) -
3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network
por: Boutinaud, Philippe, et al.
Publicado: (2021) -
Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography
por: Qiu, Bingjiang, et al.
Publicado: (2021)