Interactive training of a machine learning model for tissue segmentation
US11321839B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 22, 2020 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Sep 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.