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Fluorescence Microscopy
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A Ten Class Problem
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Introduction
Materials and Methods
Fluorescence Microscopy
Image Processing
Zernike Features
Haralick texture features
ad hoc
features
Features Calculated Using Only the Protein Localization Image
Features Calculated Using Both the DNA and Protein Localization Images
Features Calculated Using the Convex Hull of the Protein Fluorescence
Feature Selection
Back-Propagation Neural Network
k-Nearest Neighbor Method
Copyright ©1999 Michael V. Boland
1999-09-18
