A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images.
about
A versatile pipeline for the multi-scale digital reconstruction and quantitative analysis of 3D tissue architecture.Automated profiling of individual cell-cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING)CellECT: cell evolution capturing toolAnalysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images.Current automated 3D cell detection methods are not a suitable replacement for manual stereologic cell countingAutomated biochemical, morphological, and organizational assessment of precancerous changes from endogenous two-photon fluorescence imagesSurvey statistics of automated segmentations applied to optical imaging of mammalian cells.Automatic Myonuclear Detection in Isolated Single Muscle Fibers Using Robust Ellipse Fitting and Sparse Representation.Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissueA computational approach to detect gap junction plaques and associate them with cells in fluorescent imagesA generic classification-based method for segmentation of nuclei in 3D images of early embryos.Wnt-responsive cancer stem cells are located close to distorted blood vessels and not in hypoxic regions in a p53-null mouse model of human breast cancer.Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryoRanked retrieval of segmented nuclei for objective assessment of cancer gene repositioning.ACME: automated cell morphology extractor for comprehensive reconstruction of cell membranes.Quantitative characterization of preneoplastic progression using single-cell computed tomography and three-dimensional karyometryAn active learning approach for rapid characterization of endothelial cells in human tumorsCell-based quantification of molecular biomarkers in histopathology specimens.Rapid 3-D delineation of cell nuclei for high-content screening platformsEnabling user-guided segmentation and tracking of surface-labeled cells in time-lapse image sets of living tissuesIn vivo cell-cycle profiling in xenograft tumors by quantitative intravital microscopy.Fabrication of three-dimensional hydrogel scaffolds for modeling shunt failure by tissue obstruction in hydrocephalus.A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matchingAutomated 5-D analysis of cell migration and interaction in the thymic cortex from time-lapse sequences of 3-D multi-channel multi-photon images.Automated identification of neurons and their locations.Automated quantification of DNA demethylation effects in cells via 3D mapping of nuclear signatures and population homogeneity assessment.Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive ReviewMultiscale image analysis reveals structural heterogeneity of the cell microenvironment in homotypic spheroidsAlgorithmic Mapping and Characterization of the Drug-Induced Phenotypic-Response Space of Parasites Causing Schistosomiasis.Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection.Detecting and characterizing cellular responses to Mycobacterium tuberculosis from histology slides.Extracting 3D cell parameters from dense tissue environments: application to the development of the mouse heart.Choosing non-redundant representative subsets of protein sequence data sets using submodular optimization.Quantification of neuronal density across cortical depth using automated 3D analysis of confocal image stacks.Three-dimensional segmentation of nuclei and mitotic chromosomes for the study of cell divisions in live Drosophila embryos.Automatic segmentation and supervised learning-based selection of nuclei in cancer tissue images.Comparison of segmentation algorithms for fluorescence microscopy images of cells.
P2860
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P2860
A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images.
description
2007 nî lūn-bûn
@nan
2007 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
name
A multi-model approach to simu ...... 3D confocal microscope images.
@ast
A multi-model approach to simu ...... 3D confocal microscope images.
@en
A multi-model approach to simu ...... 3D confocal microscope images.
@nl
type
label
A multi-model approach to simu ...... 3D confocal microscope images.
@ast
A multi-model approach to simu ...... 3D confocal microscope images.
@en
A multi-model approach to simu ...... 3D confocal microscope images.
@nl
prefLabel
A multi-model approach to simu ...... 3D confocal microscope images.
@ast
A multi-model approach to simu ...... 3D confocal microscope images.
@en
A multi-model approach to simu ...... 3D confocal microscope images.
@nl
P2093
P356
P1433
P1476
A multi-model approach to simu ...... 3D confocal microscope images.
@en
P2093
Badrinath Roysam
Carol A Barnes
Christopher Bjornsson
John F Guzowski
Kathy Olson
Monica K Chawla
William Shain
P304
P356
10.1002/CYTO.A.20430
P577
2007-09-01T00:00:00Z