Cargando…
Semantic Focusing Allows Fully Automated Single-Layer Slide Scanning of Cervical Cytology Slides
Liquid-based cytology (LBC) in conjunction with Whole-Slide Imaging (WSI) enables the objective and sensitive and quantitative evaluation of biomarkers in cytology. However, the complex three-dimensional distribution of cells on LBC slides requires manual focusing, long scanning-times, and multi-lay...
Autores principales: | Lahrmann, Bernd, Valous, Nektarios A., Eisenmann, Urs, Wentzensen, Nicolas, Grabe, Niels |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3621829/ https://www.ncbi.nlm.nih.gov/pubmed/23585899 http://dx.doi.org/10.1371/journal.pone.0061441 |
Ejemplares similares
-
A Virtual Microscopy System to Scan, Evaluate and Archive Biomarker Enhanced Cervical Cytology Slides
por: Grabe, Niels, et al.
Publicado: (2010) -
The big problem of the missing cytology slides
por: Gatter, Ken M
Publicado: (2004) -
Removing defocused objects from single focal plane scans of cytological slides
por: Friedrich, David, et al.
Publicado: (2016) -
Feasibility of fully automated classification of whole slide images based on deep learning
por: Cho, Kyung-Ok, et al.
Publicado: (2020) -
PodoCount: A Robust, Fully Automated, Whole-Slide Podocyte Quantification Tool
por: Santo, Briana A., et al.
Publicado: (2022)