Cargando…
Detecting and segmenting cell nuclei in two-dimensional microscopy images
INTRODUCTION: Cell nuclei are important indicators of cellular processes and diseases. Segmentation is an essential stage in systems for quantitative analysis of nuclei extracted from microscopy images. Given the wide variety of nuclei appearance in different organs and staining procedures, a pletho...
Autores principales: | Liu, Chi, Shang, Fei, Ozolek, John A., Rohde, Gustavo K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100202/ https://www.ncbi.nlm.nih.gov/pubmed/28066682 http://dx.doi.org/10.4103/2153-3539.192810 |
Ejemplares similares
-
A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods
por: Chen, Cheng, et al.
Publicado: (2011) -
Detection and Segmentation of Cell Nuclei in Virtual Microscopy Images: A Minimum-Model Approach
por: Wienert, Stephan, et al.
Publicado: (2012) -
Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation
por: Liu, Ye, et al.
Publicado: (2022) -
Microscopy cell nuclei segmentation with enhanced U-Net
por: Long, Feixiao
Publicado: (2020) -
Three-Dimensional Segmentation and Reconstruction of Neuronal Nuclei in Confocal Microscopic Images
por: Ruszczycki, Błażej, et al.
Publicado: (2019)