Cargando…
Computed Tomography Images De-noising using a Novel Two Stage Adaptive Algorithm
In this paper, an optimal algorithm is presented for de-noising of medical images. The presented algorithm is based on improved version of local pixels grouping and principal component analysis. In local pixels grouping algorithm, blocks matching based on L(2) norm method is utilized, which leads to...
Autores principales: | Fadaee, Mojtaba, Shamsi, Mousa, Saberkari, Hamidreza, Sedaaghi, Mohammad Hossein |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759838/ https://www.ncbi.nlm.nih.gov/pubmed/26955565 |
Ejemplares similares
-
A Fast Algorithm for Exonic Regions Prediction in DNA Sequences
por: Saberkari, Hamidreza, et al.
Publicado: (2013) -
Cancer Classification in Microarray Data using a Hybrid Selective Independent Component Analysis and υ-Support Vector Machine Algorithm
por: Saberkari, Hamidreza, et al.
Publicado: (2014) -
Fully Automated Complementary DNA Microarray Segmentation using a Novel Fuzzy-based Algorithm
por: Saberkari, Hamidreza, et al.
Publicado: (2015) -
A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm
por: Amoshahy, Mohammad Javad, et al.
Publicado: (2016) -
Comprehensive Performance Study of Magneto Cantilevers as a Candidate Model for Biological Sensors used in Lab-on-a-Chip Applications
por: Saberkari, Hamidreza, et al.
Publicado: (2015)