Cargando…
Learning to detect boundary information for brain image segmentation
MRI brain images are always of low contrast, which makes it difficult to identify to which area the information at the boundary of brain images belongs. This can make the extraction of features at the boundary more challenging, since those features can be misleading as they might mix properties of d...
Autores principales: | Khaled, Afifa, Han, Jian-Jun, Ghaleb, Taher A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367147/ https://www.ncbi.nlm.nih.gov/pubmed/35953776 http://dx.doi.org/10.1186/s12859-022-04882-w |
Ejemplares similares
-
Segmentation of the Clustered Cells with Optimized Boundary Detection in Negative Phase Contrast Images
por: Wang, Yuliang, et al.
Publicado: (2015) -
Convolutional autoencoder joint boundary and mask adversarial learning for fundus image segmentation
por: Zhang, Xu, et al.
Publicado: (2022) -
Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach
por: Iftikhar, Saadia, et al.
Publicado: (2011) -
Exogenous Contrast Agents in Photoacoustic Imaging: An In Vivo Review for Tumor Imaging
por: Farooq, Afifa, et al.
Publicado: (2022) -
CT Image Segmentation Using FEM with Optimized Boundary Condition
por: Hishida, Hiroyuki, et al.
Publicado: (2012)