Anomaly detection in medical imaging data
US12283365B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 15, 2022 |
| Grant date | Apr 22, 2025 |
| Priority date | — |
| Expiry date | Mar 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Particular embodiments provide a method for anomaly detection in images of tissue. An image processing system may receive an image of a tissue sample. A set of tiles may be generated from the image of the tissue sample. The set of tiles may be input into an anomaly detection model comprising a generator model comprising functional skip-connections and a Markovian discriminator model. The anomaly detection model may be trained to isolate a feature space of normal tissue samples. Anomaly scores may be computed for the set of tiles, and an assessment may be generated for the image of the tissue sample based on the anomaly scores for the set of tiles. The assessment may include a reconstructed heatmap of the image of the tissue sample, wherein colors of the heatmap are selected based on the anomaly scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.