A high-throughput system for segmenting nuclei using multiscale techniques.
about
White blood cell segmentation by color-space-based k-means clustering.Ranked retrieval of segmented nuclei for objective assessment of cancer gene repositioning.A novel dictionary based computer vision method for the detection of cell nuclei.FISH Finder: a high-throughput tool for analyzing FISH images.Cell-based quantification of molecular biomarkers in histopathology specimens.Semi-quantitative monitoring of confluence of adherent mesenchymal stromal cells on calcium-phosphate granules by using widefield microscopy images.Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments.Accurate Detection of Dysmorphic Nuclei Using Dynamic Programming and Supervised ClassificationA flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matchingCellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation.Automated quantification of DNA demethylation effects in cells via 3D mapping of nuclear signatures and population homogeneity assessment.State-of-the-art FISHing: automated analysis of cytogenetic aberrations in interphase nuclei.2D mapping of strongly deformable cell nuclei-based on contour matching.DetecTiff: a novel image analysis routine for high-content screening microscopy.Automatic segmentation of cell nuclei in Feulgen-stained histological sections of prostate cancer and quantitative evaluation of segmentation results.Detecting and characterizing cellular responses to Mycobacterium tuberculosis from histology slides.An optimized image analysis algorithm for detecting nuclear signals in digital whole slides for histopathology.Automatic extraction of cell nuclei from H&E-stained histopathological images.An entropy-based automated cell nuclei segmentation and quantification: application in analysis of wound healing process.A probabilistic cell model in background corrected image sequences for single cell analysis.Machine vision-based localization of nucleic and cytoplasmic injection sites on low-contrast adherent cells.Analysis, Recognition, and Classification of Biological Membrane Images.Towards automated segmentation of cells and cell nuclei in nonlinear optical microscopy.Automatic segmentation and supervised learning-based selection of nuclei in cancer tissue images.Dense nuclei segmentation based on graph cut and convexity-concavity analysis.Comparison of segmentation algorithms for fluorescence microscopy images of cells.
P2860
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P2860
A high-throughput system for segmenting nuclei using multiscale techniques.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
A high-throughput system for segmenting nuclei using multiscale techniques.
@en
A high-throughput system for segmenting nuclei using multiscale techniques.
@nl
type
label
A high-throughput system for segmenting nuclei using multiscale techniques.
@en
A high-throughput system for segmenting nuclei using multiscale techniques.
@nl
prefLabel
A high-throughput system for segmenting nuclei using multiscale techniques.
@en
A high-throughput system for segmenting nuclei using multiscale techniques.
@nl
P2093
P356
P1433
P1476
A high-throughput system for segmenting nuclei using multiscale techniques
@en
P2093
Prabhakar R Gudla
S J Lockett
P304
P356
10.1002/CYTO.A.20550
P577
2008-05-01T00:00:00Z