Region clustering forest for analyzing medical imaging data
US9576356B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 8, 2015 |
| Grant date | Feb 21, 2017 |
| Priority date | — |
| Expiry date | May 8, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30008
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for training a region clustering forest include receiving a set of medical training images for a population of patients. A set of image patches is extracted from each image in the set of medical training images. A plurality of region clustering trees are generated each minimizing a loss function based on respective randomly selected subsets of the set of image patches to train the region clustering forest. Each of the plurality of region clustering trees cluster image patches at a plurality of leaf nodes and the loss function measures a compactness of the cluster of image patches at each leaf node in each of the plurality of region clustering trees.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.