Automatic organ detection using machine learning and classification algorithms
US7894653B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 14, 2007 |
| Grant date | Feb 22, 2011 |
| Priority date | — |
| Expiry date | Dec 22, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus of visually depicting an organ, having the steps of choosing a predefined set features for analysis, the predefined set of features having distinguishing weak learners for an algorithm, wherein the predefined set of features and the weak learners chosen distinguish features of the organ desired to be represented, developing a strong classifier for the algorithm for the organ desired to be represented based upon the weak learners for the organ, one of conducing a body scan to produce a body scan data set and obtaining a body scan data set of information for a patient, applying the strong classifier and the algorithm to the body scan data set to develop a result of a representation of the organ and outputting the result of the step of applying of the strong classifier and the algorithm to the body scan data set to represent the organ.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.