Systems and methods for detecting cancer metastasis using a neural network
US10846854B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2018 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Dec 4, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the disclosure provide systems and methods for detecting cancer metastasis in a whole-slide image. The system may include a communication interface configured to receive the whole-slide image and a learning model. The whole-slide image is acquired by an image acquisition device. The system may also include a memory configured to store a plurality of tiles derived from the whole-slide image in a queue. The system may further include at least one processor, configured to apply the learning model to at least two tiles stored in the queue in parallel to obtain detection maps each corresponding to a tile, and detect the cancer metastasis based on the detection maps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.