Automated segmentation and guided correction of endothelial cell images
US12062178B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2021 |
| Grant date | Aug 13, 2024 |
| Priority date | — |
| Expiry date | Jul 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments discussed herein facilitate automated and/or semi-automated segmentation of endothelial cells via a trained deep learning model. One example embodiment is a method, comprising: accessing an optical microscopy image comprising a set of corneal endothelial cells of a patient of a keratoplasty; pre-processing the optical microscopy image to generate a pre-processed optical microscopy image via correcting for at least one of shading or illumination artifacts in the optical microscopy image; segmenting, based at least in part on a trained deep learning (DL) model, a plurality of corneal endothelial cells of the set of corneal endothelial cells in the pre-processed optical microscopy image; and displaying, via a graphical user interface (GUI), at least the segmented plurality of corneal endothelial cells.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.