User-guided domain adaptation for rapid annotation from user interactions for pathological organ segmentation
US11823379B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2020 |
| Grant date | Nov 21, 2023 |
| Priority date | — |
| Expiry date | Feb 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30056
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The present disclosure provides a computer-implemented method, a device, and a computer program product using a user-guided domain adaptation (UGDA) architecture. The method includes training a combined model using a source image dataset by minimizing a supervised loss of the combined model to obtain first sharing weights for a first FCN and second sharing weights for a second FCN; training a discriminator by inputting extreme-point/mask prediction pairs for each of the source image dataset and a target image dataset and by minimizing a discriminator loss to obtain discriminator weights; and finetuning the combined model by predicting extreme-point/mask prediction pairs for the target image dataset to fool the discriminator by matching a distribution of the extreme-point/mask prediction pairs for the target image dataset with a distribution of the extreme-point/mask prediction pairs for the source image dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.