Image feature classification and localization using discriminative representations for robotic surgical control
US10552664B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 24, 2017 |
| Grant date | Feb 4, 2020 |
| Priority date | — |
| Expiry date | Mar 16, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/032
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for digital image classification and localization includes receiving a digital image of a biological organism from an imaging apparatus, the digital image comprising a plurality of intensities on a 2-dimensional grid of points, generating a plurality of discriminative representations of the 2D digital image by extracting dominant characteristics of the image from three different viewpoints, where the plurality of discriminative representations form a 3-dimensional digital image, combining the 3D digital image with the 2D digital image in a convolutional neural network that outputs a 3-channel feature map that localizes image abnormalities in each of the three channels and includes a detection confidence that each abnormalities is a neoplasm, providing the 3-channel feature map to a controller of a robotic surgical device where the robotic surgical device uses the 3-channel feature map to locate the neoplasm within the biological organism in a surgical procedure for treating the neoplasm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.