Improved technique for automated classification of protein Subcellular Location patterns in fluorescence microscope images

2010 17th Iranian Conference of Biomedical Engineering (ICBME) ◽

10.1109/icbme.2010.5705023 ◽

2010 ◽

Author(s):

Fateme Mostajer Kheirkhah ◽

Siamak Haghipour

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Automated Classification ◽

Protein Subcellular Location ◽

Microscope Images ◽

Location Patterns ◽

Improved Technique

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Searching online journals for fluorescence microscope images depicting protein subcellular location patterns

Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001) ◽

10.1109/bibe.2001.974420 ◽

2001 ◽

Author(s):

R.F. Murphy ◽

M. Velliste ◽

Jie Yao ◽

G. Porreca

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Protein Subcellular Location ◽

Online Journals ◽

Microscope Images ◽

Location Patterns

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Automated Classification of Protein Subcellular Location Patterns on Images of Human Reproductive Tissues

Intelligent Science and Intelligent Data Engineering - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36669-7_32 ◽

2013 ◽

pp. 254-262

Author(s):

Fan Yang ◽

Ying-Ying Xu ◽

Hong-Bin Shen

Keyword(s):

Subcellular Location ◽

Automated Classification ◽

Protein Subcellular Location ◽

Reproductive Tissues ◽

Location Patterns ◽

Human Reproductive

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A Novel Approximate Inference Approach to Automated Classification of Protein Subcellular Location Patterns in Multi-Cell Images

3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006. ◽

10.1109/isbi.2006.1624977 ◽

2006 ◽

Author(s):

Shann-Ching Chen ◽

G.J. Gordon ◽

R.F. Murphy

Keyword(s):

Subcellular Location ◽

Approximate Inference ◽

Automated Classification ◽

Protein Subcellular Location ◽

Location Patterns

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Robust Numerical Features for Description and Classification of Subcellular Location Patterns in Fluorescence Microscope Images

The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ◽

10.1023/b:vlsi.0000003028.71666.44 ◽

2003 ◽

Vol 35 (3) ◽

pp. 311-321 ◽

Author(s):

Robert F. Murphy ◽

Meel Velliste ◽

Gregory Porreca

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Microscope Images ◽

Location Patterns

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Robust classification of subcellular location patterns in fluorescence microscope images

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing ◽

10.1109/nnsp.2002.1030018 ◽

2003 ◽

Author(s):

R.F. Murphy ◽

M. Velliste ◽

G. Porreca

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Robust Classification ◽

Microscope Images ◽

Location Patterns

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Classification of subcellular location patterns in fluorescence microscope images based on modified threshold adjacency statistics

2010 6th Iranian Conference on Machine Vision and Image Processing ◽

10.1109/iranianmvip.2010.5941162 ◽

2010 ◽

Author(s):

Fateme Mostajer Kheirkhah ◽

Siamak Haghipour

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Microscope Images ◽

Location Patterns

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Robust classification of subcellular location patterns in high resolution 3D fluorescence microscope images

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2004.1403494 ◽

2005 ◽

Author(s):

Xiang Chen ◽

R.F. Murphy

Keyword(s):

High Resolution ◽

Subcellular Location ◽

Fluorescence Microscope ◽

Robust Classification ◽

Microscope Images ◽

Location Patterns

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Location proteomics: determining the optimal grouping of proteins according to their subcellular location patterns as determined from fluorescence microscope images

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. ◽

10.1109/acssc.2004.1399085 ◽

2005 ◽

Author(s):

Xiang Chen ◽

R.F. Murphy

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Microscope Images ◽

Location Patterns ◽

Location Proteomics ◽

Optimal Grouping

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Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features

Neurocomputing ◽

10.1016/j.neucom.2013.10.034 ◽

2014 ◽

Vol 131 ◽

pp. 113-123 ◽

Author(s):

Fan Yang ◽

Ying-Ying Xu ◽

Shi-Tong Wang ◽

Hong-Bin Shen

Keyword(s):

Ensemble Learning ◽

Subcellular Location ◽

Local Features ◽

Reproductive Tissue ◽

Protein Subcellular Location ◽

Location Patterns ◽

Human Reproductive ◽

Global And Local

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Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images

10.1117/12.477903 ◽

2003 ◽

Author(s):

Kai Huang ◽

Meel Velliste ◽

Robert F. Murphy

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Feature Reduction ◽

Microscope Images ◽

Location Patterns

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