Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming

scientific article published on May 2008

Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/tmi/McCulloughGHCMNYML08
P356DOI10.1109/TMI.2007.913135
P932PMC publication ID2730109
P698PubMed publication ID18450544

P2093author name stringT Misteli
J A Collins
S J Lockett
B S Harris
T P Yamaguchi
D P McCullough
K J Meaburn
M A Nakaya
P R Gudla
P2860cites workAn image model and segmentation algorithm for reflectance confocal images of in vivo cervical tissueQ51347706
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On the accurate counting of tumor cellsQ80595585
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Automatic multiparameter fluorescence imaging for determining lymphocyte phenotype and activation status in melanoma tissue sectionsQ36827482
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Mathematical modeling of planar cell polarity to understand domineering nonautonomy.Q42473227
In situ analyses of genome instability in breast cancerQ46051522
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Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces.Q48944868
P433issue5
P921main subjectmicroscopeQ196538
P304page(s)723-734
P577publication date2008-05-01
P1433published inIEEE Transactions on Medical ImagingQ15751775
P1476titleSegmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming
P478volume27

Reverse relations

cites work (P2860)
Q36923135A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching
Q45409488A high-throughput system for segmenting nuclei using multiscale techniques.
Q36954869A method for the evaluation of thousands of automated 3D stem cell segmentations
Q51091332An image processing pipeline to detect and segment nuclei in muscle fiber microscopic images
Q41844230Automatic Cell Segmentation in Fluorescence Images of Confluent Cell Monolayers Using Multi-object Geometric Deformable Model.
Q51171369Automatic nuclear bud detection using ellipse fitting, moving sticks or top-hat transformation
Q51770712Automatic nuclei segmentation and spatial FISH analysis for cancer detection.
Q50789905Automatic segmentation and supervised learning-based selection of nuclei in cancer tissue images.
Q40036061Automatic segmentation of cell nuclei in Feulgen‐stained histological sections of prostate cancer and quantitative evaluation of segmentation results
Q51557979Comparison of segmentation algorithms for fluorescence microscopy images of cells.
Q37319590Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection
Q51141108Dense nuclei segmentation based on graph cut and convexity-concavity analysis
Q59315538Drosophila Eye Nuclei Segmentation Based on Graph Cut and Convex Shape Prior
Q35903291Enabling user-guided segmentation and tracking of surface-labeled cells in time-lapse image sets of living tissues
Q34729574FISH Finder: a high-throughput tool for analyzing FISH images
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Q39120017Mathematical classification of tight junction protein images
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Q34131825Supervised learning framework for screening nuclei in tissue sections
Q28611132Survey statistics of automated segmentations applied to optical imaging of mammalian cells.
Q39203836Unsupervised cell identification on multidimensional X-ray fluorescence datasets

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