Automatic Calculation for Ploidy Classification
AssigneeOslo Universitetssykehus, Institute for Cancer Genetics and Informatics
InventorsRolf Anders SYVERTSEN, Tarjei Sveinsgjerd HVEEM, John Robert MADDISON, Havard Emil Greger DANIELSEN
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Abstract
A method of image classification is used for classifying images of stained cell nuclei. For each nucleus, the total integrated optical density is calculated and a histogram calculated. The image is then classified by automatically identifying peaks, identifying the lowest peak as a 2C peak and classifying the image as at least one of diploid, tetraploid, aneuploid or polyploid based on the number of peaks and the count at an integrated optical densities above the 2C peak.
Claims7
A method of image classification, comprising:
- receiving an image section of a plurality of cell nuclei;
- calculating a measure of the two-dimensional integrated optical density of a plurality of the nuclei;
- creating a histogram by counting the number of nuclei within each of a plurality of bins, each bin relating to a respective range of the measure of the two-dimensional integrated optical density;
- and
- classifying the image by:
- identifying the peaks of the histogram, their count and their integrated optical density;
- identifying the lowest peak as a 2C peak;
- and
- classifying the image as at least one of diploid, tetraploid, aneuploid or polyploid based on the number of peaks and the count at an integrated optical densities above the 2C peak.
An automatic classification system for an image section of a plurality of stained cell nuclei;
- comprising a computer and code for:
- calculating a measure of the two-dimensional integrated optical density of a plurality of the nuclei;
- creating a histogram by counting the number of nuclei within each of a plurality of bins, each bin relating to a respective range of the measure of the two-dimensional integrated optical density;
- and
- classifying the image by:
- identifying the peaks of the histogram, their count and their integrated optical density;
- identifying the lowest peak as a 2C peak;
- and
- classifying the image as at least one of diploid, tetraploid, aneuploid or polyploid based on the number of peaks and the count at an integrated optical densities above the 2C peak.
Dependencies are inferred from the claim text.