Assessing the efficacy of low-level image content descriptors for computer-based fluorescence microscopy image analysis
- 23 May 2011
- journal article
- Published by Wiley in Journal of Microscopy
- Vol. 243 (3), 284-292
- https://doi.org/10.1111/j.1365-2818.2011.03502.x
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- Computational prediction of neural progenitor cell fatesNature Methods, 2010
- Principles of Bioimage Informatics: Focus on Machine Learning of Cell PatternsLecture Notes in Computer Science, 2010
- Extracting Rich Information from ImagesMethods in Molecular Biology, 2009
- Image-based chemical screeningNature Chemical Biology, 2007
- One-shot learning of object categoriesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
- Boosting accuracy of automated classification of fluorescence microscope images for location proteomicsBMC Bioinformatics, 2004
- Systematic genome-wide screens of gene functionNature Reviews Genetics, 2004
- Integrated Optomechanical AnalysisPublished by SPIE-Intl Soc Optical Eng ,2002
- A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cellsBioinformatics, 2001
- Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy imagesCytometry, 1998