Material segmentation in image volumes
US10438350B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2017 |
| Grant date | Oct 8, 2019 |
| Priority date | — |
| Expiry date | Nov 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30008
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present approach relates, in some aspects, to a multi-level and a multi-channel frame work for segmentation using model-based or “shallow” classification (i.e. learning processes such as linear regression, clustering, support vector machines, and so forth) followed by deep learning. This framework starts with a very low resolution version of the multi-channel data and constructs an shallow classifier with simple features to generate a coarser level tissue mask that in turn is used to crop patches from the high-resolution volume. The cropped volume is then processed using the trained convolution network to perform a deep learning based segmentation within the slices.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.