Detection of molecular particles in live cells via machine learning.
about
Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images.Chapter 17: bioimage informatics for systems pharmacologyEvaluation of methods for detection of fluorescence labeled subcellular objects in microscope images.Extended morphological processing: a practical method for automatic spot detection of biological markers from microscopic images.Recent advances in morphological cell image analysis.Improved synapse detection for mGRASP-assisted brain connectivity mapping.Performance and sensitivity evaluation of 3D spot detection methods in confocal microscopy.Automated REcognition of tissue-associated erythrocytes (ARETE)-a new tool in tissue cytometry.Automated podosome identification and characterization in fluorescence microscopy images.
P2860
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P2860
Detection of molecular particles in live cells via machine learning.
description
2007 nî lūn-bûn
@nan
2007 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Detection of molecular particles in live cells via machine learning.
@ast
Detection of molecular particles in live cells via machine learning.
@en
type
label
Detection of molecular particles in live cells via machine learning.
@ast
Detection of molecular particles in live cells via machine learning.
@en
prefLabel
Detection of molecular particles in live cells via machine learning.
@ast
Detection of molecular particles in live cells via machine learning.
@en
P2093
P356
P1433
P1476
Detection of molecular particles in live cells via machine learning.
@en
P2093
Shan Jiang
Stephen T C Wong
Tom Kirchhausen
Xiaobo Zhou
P304
P356
10.1002/CYTO.A.20404
P577
2007-08-01T00:00:00Z