Systems and methods for tissue classification using attributes of a biomarker enhanced tissue network (BETN)
US8831327B2 · kind B2 · utility
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Key dates
| Filing date | Aug 30, 2011 |
| Grant date | Sep 9, 2014 |
| Priority date | — |
| Expiry date | Dec 9, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for tissue classification of a tissue sample are provided. The methods and systems transform the tissue image data to a biomarker enhanced tissue network (BETN) such that an individual cell or a sub-cellular structure in the tissue image data corresponds to a node in the BETN, define a feature vector based on a feature set representative of a tissue type of interest, cluster nodes of the BETN based on a similarity criterion of one or features of the feature vector, and classify the nodes in the tissue image data based on the grouping of the nodes of the BETN.
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