Automated cell segmentation quality control
US10083340B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2016 |
| Grant date | Sep 25, 2018 |
| Priority date | — |
| Expiry date | Apr 14, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30204
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed subject matter relates to an automated determination of cell-by-cell segmentation quality of a tissue specimen sample. A training set of cells is examined by an expert to determine which cells that include “good” segmentation and which cells include “poor” segmentation. A training model is build based on the image data of the cells in the training set. Image data from cells in a test specimen is obtained and that image data is compared to the training model to determine on a cell-by-cell basis which cells in the test specimen include “good” segmentation and which cells include “poor” segmentation. The accumulated data on the cells analyzed in the test specimen can be utilized to determine an overall segmentation quality score for the area of the test specimen in which the individual cells are located in the test specimen.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.