Cargando…
Brain tumor segmentation based on region of interest-aided localization and segmentation U-Net
Since magnetic resonance imaging (MRI) has superior soft tissue contrast, contouring (brain) tumor accurately by MRI images is essential in medical image processing. Segmenting tumor accurately is immensely challenging, since tumor and normal tissues are often inextricably intertwined in the brain....
Autores principales: | Li, Shidong, Liu, Jianwei, Song, Zhanjie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967694/ https://www.ncbi.nlm.nih.gov/pubmed/35378734 http://dx.doi.org/10.1007/s13042-022-01536-4 |
Ejemplares similares
-
Brain tumour segmentation based on an improved U-Net
por: Zheng, Ping, et al.
Publicado: (2022) -
Combined Features in Region of Interest for Brain Tumor Segmentation
por: Alqazzaz, Salma, et al.
Publicado: (2022) -
Improved U-Net3+ with stage residual for brain tumor segmentation
por: Qin, Chuanbo, et al.
Publicado: (2022) -
U-Net Based Segmentation and Characterization of Gliomas
por: Kihira, Shingo, et al.
Publicado: (2022) -
U-Net-Based Medical Image Segmentation
por: Yin, Xiao-Xia, et al.
Publicado: (2022)