Cargando…
Texture features in the Shearlet domain for histopathological image classification
BACKGROUND: A various number of imaging modalities are available (e.g., magnetic resonance, x-ray, ultrasound, and biopsy) where each modality can reveal different structural aspects of tissues. However, the analysis of histological slide images that are captured using a biopsy is considered the gol...
Autores principales: | Alinsaif, Sadiq, Lang, Jochen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739509/ https://www.ncbi.nlm.nih.gov/pubmed/33323118 http://dx.doi.org/10.1186/s12911-020-01327-3 |
Ejemplares similares
-
Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain
por: Huang, Yan, et al.
Publicado: (2018) -
X-ray Image Enhancement Based on Nonsubsampled Shearlet Transform and Gradient Domain Guided Filtering
por: Zhao, Tao, et al.
Publicado: (2022) -
TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain
por: Zhang, Rui, et al.
Publicado: (2023) -
Pedestrian detection algorithms using shearlets
por: Pfeifer, Lienhard
Publicado: (2019) -
Shearlets: Multiscale Analysis for Multivariate Data
por: Kutyniok, Gitta, et al.
Publicado: (2012)