Systems and methods for predicting tissue characteristics for a pathology image using a statistical model
US11080855B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 6, 2018 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | Jan 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some aspects, the described systems and methods provide for a method for predicting tissue characteristics for a pathology image. A statistical model trained on multiple annotated pathology images is used. Each of the training pathology images includes an annotation describing tissue characteristics for one or more portions of the image. The method includes accessing a pathology image for predicting tissue characteristics. A trained statistical model is retrieved from a storage device. A set of patches is defined from the pathology image. Each of the patches in the set includes a subset of pixels from the corresponding pathology image. The set of patches is processed using the trained statistical model to predict respective annotations for each patch in the set. The predicted annotations are stored on the storage device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.