Cargando…
Multimodal brain image fusion based on error texture elimination and salient feature detection
As an important clinically oriented information fusion technology, multimodal medical image fusion integrates useful information from different modal images into a comprehensive fused image. Nevertheless, existing methods routinely consider only energy information when fusing low-frequency or base l...
Autores principales: | Li, Xilai, Li, Xiaosong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372795/ https://www.ncbi.nlm.nih.gov/pubmed/37521686 http://dx.doi.org/10.3389/fnins.2023.1204263 |
Ejemplares similares
-
Multi-Focus Image Fusion Based on Hessian Matrix Decomposition and Salient Difference Focus Detection
por: Li, Xilai, et al.
Publicado: (2022) -
Multi-Sensor Medical-Image Fusion Technique Based on Embedding Bilateral Filter in Least Squares and Salient Detection
por: Li, Jiangwei, et al.
Publicado: (2023) -
Brain tumor segmentation in multimodal MRI via pixel-level and feature-level image fusion
por: Liu, Yu, et al.
Publicado: (2022) -
Editorial: Multimodal brain image fusion: Methods, evaluations, and applications
por: Liu, Yu, et al.
Publicado: (2023) -
Feature Refine Network for Salient Object Detection
por: Yang, Jiejun, et al.
Publicado: (2022)