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A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
M. V. Boland, R. F. Murphy
Research output
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Contribution to journal
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Article
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peer-review
363
Scopus citations
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Dive into the research topics of 'A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells'. Together they form a unique fingerprint.
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Mathematics
Microscope
100%
Fluorescence
100%
Classifier
77%
Neural Networks
64%
Cell
50%
Protein
47%
Zernike Moments
47%
Texture Feature
44%
Fluorescence Microscopy
40%
Proteomics
33%
Protein Sequence
32%
Numerics
25%
Context
14%
Engineering & Materials Science
Fluorescence
78%
Microscopes
66%
Proteins
63%
Classifiers
48%
Neural networks
41%
Fluorescence microscopy
33%
Proteomics
30%
Textures
18%
Chemical Compounds
Classifier
94%
Fluorescence
39%
Subcellular Localization
31%
Protein
28%
Fluorescence Microscopy
23%
Crystalline Texture
22%
Medicine & Life Sciences
HeLa Cells
68%
Fluorescence
56%
Proteins
25%
Fluorescence Microscopy
22%
Organelles
22%
Proteomics
21%