Cargando…
LBTS‐Net: A fast and accurate CNN model for brain tumour segmentation
An accurate tumour segmentation in brain images is a complicated task due to the complext structure and irregular shape of the tumour. In this letter, our contribution is twofold: (1) a lightweight brain tumour segmentation network (LBTS‐Net) is proposed for a fast yet accurate brain tumour segmenta...
Autores principales: | Abdullah, Mohammed A. M., Alkassar, Sinan, Jebur, Bilal, Chambers, Jonathon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024025/ https://www.ncbi.nlm.nih.gov/pubmed/33850627 http://dx.doi.org/10.1049/htl2.12005 |
Ejemplares similares
-
Fast and accurate microRNA search using CNN
por: Tang, Xubo, et al.
Publicado: (2019) -
DTS-Net: Depth-to-Space Networks for Fast and Accurate Semantic Object Segmentation
por: Ibrahem, Hatem, et al.
Publicado: (2022) -
Fast Attention CNN for Fine-Grained Crack Segmentation
por: Lee, Hyunnam, et al.
Publicado: (2023) -
MRF-Net: A multi-branch residual fusion network for fast and accurate whole-brain MRI segmentation
por: Wei, Chong, et al.
Publicado: (2022) -
SynPo-Net—Accurate and Fast CNN-Based 6DoF Object Pose Estimation Using Synthetic Training
por: Su, Yongzhi, et al.
Publicado: (2021)