Oslo Universitetssykehus

Oslo Universitetssykehus, Institute for Cancer Genetics and Informatics

Havard Emil Greger Danielsen

John Robert Maddison

Tarjei Sveinsgjerd Hveem

Ole Johan Skrede

Knut Liestol

Rolf Anders Syvertsen

A machine learning algorithm is trained on a number of microscopic images and a measure of outcome of each image. Each image is divided into tiles. The measure of outcome is assigned to each tile of the image. The tiles are then used to train the machine learning algorithm. The trained algorithm may then be used to evaluate images.

Histological image analysis

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.

Automatic calculation for ploidy classification

Growing community of inventors

Oslo, Norway

Havard Emil Greger Danielsen