Prediction of recurrence of non-small cell lung cancer
US10049770B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2016 |
| Grant date | Aug 14, 2018 |
| Priority date | — |
| Expiry date | Jan 21, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, and other embodiments associated with predicting non-small cell lung cancer (NSCLC) patient response to adjuvant chemotherapy therapy using radiomic features extracted from digitized hematoxylin and eosin (H&E) stained slides of a region of tissue demonstrating NSCLC. One example apparatus includes an image acquisition circuit that acquires an H&E image of a region of tissue demonstrating NSCLC pathology, a segmentation circuit that segments a region of interest (ROI) from the diagnostic radiological image, a feature extraction that extracts a set of discriminative features from the ROI, and a classification circuit that generates a probability that the ROI will experience NSCLC recurrence. The classification circuit may compute a quantitative continuous image-based risk score based on the probability or the image. A prognosis or treatment plan may be provided based on the quantitative continuous image-based risk score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.