Patent · US Active

System and method for unsupervised detection and gleason grading of prostate cancer whole mounts using NIR fluorscence

US8139831B2 · kind B2 · utility

17Cited by

22References

12Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Ali Khamene · Princeton, US
Tina Ehtiati · Baltimore, US
John V. Frangioni · Wayland, US
Vida Kianzad · Newton, US
Fred S. Azar · Princeton, US

Key dates

Filing date	Dec 2, 2008
Grant date	Mar 20, 2012
Priority date	—
Expiry date	Oct 16, 2030

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30081
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for unsupervised classification of histological images of prostatic tissue includes providing histological image data obtained from a slide simultaneously co-stained with NIR fluorescent and Hematoxylin-and-Eosin (H&E) stains, segmenting prostate gland units in the image data, forming feature vectors by computing discriminating attributes of the segmented gland units, and using the feature vectors to train a multi-class classifier, where the classifier classifies prostatic tissue into benign, prostatic intraepithelial neoplasia (PIN), and Gleason scale adenocarcinoma grades 1 to 5 categories.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.