Cargando…
Unsupervised image segmentation for microarray spots with irregular contours and inner holes
BACKGROUND: Microarray analysis represents a powerful way to test scientific hypotheses on the functionality of cells. The measurements consider the whole genome, and the large number of generated data requires sophisticated analysis. To date, no gold-standard for the analysis of microarray images h...
Autores principales: | Belean, Bogdan, Borda, Monica, Ackermann, Jörg, Koch, Ina, Balacescu, Ovidiu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690322/ https://www.ncbi.nlm.nih.gov/pubmed/26698293 http://dx.doi.org/10.1186/s12859-015-0842-3 |
Ejemplares similares
-
Hexagonal-Grid-Layout Image Segmentation Using Shock Filters: Computational Complexity Case Study for Microarray Image Analysis Related to Machine Learning Approaches
por: Baloi, Aurel, et al.
Publicado: (2023) -
Unsupervised Cardiac Image Segmentation via Multiswarm Active Contours with a Shape Prior
por: Cruz-Aceves, I., et al.
Publicado: (2013) -
Word Spotting as a Service: An Unsupervised and Segmentation-Free Framework for Handwritten Documents
por: Zagoris, Konstantinos, et al.
Publicado: (2021) -
Application of Ground-Penetrating Radar for Detecting Internal Anomalies in Tree Trunks with Irregular Contours
por: Li, Weilin, et al.
Publicado: (2018) -
The Phase-II upgrade Demonstrator system for the ATLAS Hadronic Tile Calorimeter facing the High-Luminosity LHC era
por: Belean, Ioan Bogdan
Publicado: (2020)