Multi-sample whole slide image processing in digital pathology via multi-resolution registration and machine learning
US10943346B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 24, 2019 |
| Grant date | Mar 9, 2021 |
| Priority date | — |
| Expiry date | May 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
When reviewing digital pathology tissue specimens, multiple slides may be created from thin, sequential slices of tissue. These slices may then be prepared with various stains and digitized to generate a Whole Slide Image (WSI). Review of multiple WSIs is challenging because of the lack of homogeneity across the images. In embodiments, to facilitate review, WSIs are aligned with a multi-resolution registration algorithm, normalized for improved processing, annotated by an expert user, and divided into image patches. The image patches may be used to train a Machine Learning model to identify features useful for detection and classification of regions of interest (ROIs) in images. The trained model may be applied to other images to detect and classify ROIs in the other images, which can aid in navigating the WSIs. When the resulting ROIs are presented to the user, the user may easily navigate and provide feedback through a display layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.