Systems and methods for processing electronic images for computational assessment of disease
US11494907B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2020 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | Dec 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.