Combinational pixel-by-pixel and object-level classifying, segmenting, and agglomerating in performing quantitative image analysis that distinguishes between healthy non-cancerous and cancerous cell nuclei and delineates nuclear, cytoplasm, and stromal material objects from stained biological tissue materials
US8488863B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 6, 2008 |
| Grant date | Jul 16, 2013 |
| Priority date | — |
| Expiry date | Dec 11, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30068
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Quantitative object and spatial arrangement-level analysis of tissue are detailed using expert (pathologist) input to guide the classification process. A two-step method is disclosed for imaging tissue, by classifying one or more biological materials, e.g. nuclei, cytoplasm, and stroma, in the tissue into one or more identified classes on a pixel-by-pixel basis, and segmenting the identified classes to agglomerate one or more sets of identified pixels into segmented regions. Typically, the one or more biological materials comprises nuclear material, cytoplasm material, and stromal material. The method further allows a user to markup the image subsequent to the classification to re-classify said materials. The markup is performed via a graphic user interface to edit designated regions in the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.