Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery.
2007
Background
We present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of nuclei. Our multispectral imagery has 29 spectral bands, spaced 10 nm within the visual range of 420–700 nm. It has been hypothesized that the additional spectral bands contain further information useful for classification as compared to the 3 standard bands of RGB imagery. We present analyses of our data designed to test this hypothesis.
Keywords:
- Principal component analysis
- Cell biology
- Biology
- Constant false alarm rate
- Multispectral image
- Multispectral pattern recognition
- Support vector machine
- Computer vision
- Independent component analysis
- RGB color model
- Spectral bands
- Artificial intelligence
- single image
- Pattern recognition
- Molecular biology
- visual range
- Correction
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