Systems and methods for training a model to predict survival time for a patient
US11017532B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2020 |
| Grant date | May 25, 2021 |
| Priority date | — |
| Expiry date | Apr 23, 2040 |
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 training a model to predict survival time for a patient. The method includes accessing annotated pathology images associated with a first group of patients in a clinical trial. Each of the annotated pathology images is associated with survival data for a respective patient. Each of the annotated pathology images includes an annotation describing a tissue characteristic category for a portion of the image. Values for one or more features are extracted from each of the annotated pathology images. A model is trained based on the survival data and the extracted values for the features. The trained model is stored on a storage device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.