Systems and methods for mesothelioma feature detection and enhanced prognosis or response to treatment
US12249073B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Dec 30, 2022 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Dec 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus of a device that classifies a mesothelioma image is described. In an exemplary embodiment, the device segments the mesothelioma image into a region of interest that includes information useful for classification, and a background region, by applying a first convolutional neural network. In addition, the device tiles the region of interest into a set of tiles. For each tile, the device extracts a feature vector of that tile by applying a second convolutional neural network, where the features of the feature vectors represent local descriptors of the tile. Furthermore, the device processes the extracted feature vectors of the set of tiles to classify the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.