Segmentation of fluorescence microscopy cell images using unsupervised mining.
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Automated image analysis identifies signaling pathways regulating distinct signatures of cardiac myocyte hypertrophyTumour microenvironment heterogeneity affects the perceived spatial concordance between the intratumoural patterns of cell proliferation and 18F-fluorothymidine uptakePATMA: parser of archival tissue microarrayValidation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3'-Diaminobenzidine&Haematoxylin.Towards automatic image analysis and assessment of the multicellular apoptosis process.
P2860
Segmentation of fluorescence microscopy cell images using unsupervised mining.
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2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
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2010年学术文章
@wuu
2010年学术文章
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2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
name
Segmentation of fluorescence microscopy cell images using unsupervised mining.
@ast
Segmentation of fluorescence microscopy cell images using unsupervised mining.
@en
type
label
Segmentation of fluorescence microscopy cell images using unsupervised mining.
@ast
Segmentation of fluorescence microscopy cell images using unsupervised mining.
@en
prefLabel
Segmentation of fluorescence microscopy cell images using unsupervised mining.
@ast
Segmentation of fluorescence microscopy cell images using unsupervised mining.
@en
P2860
P1476
Segmentation of fluorescence microscopy cell images using unsupervised mining.
@en
P2093
Sumeet Dua
P2860
P356
10.2174/1874431101004010041
P50
P577
2010-05-28T00:00:00Z