Fuzzy logic based classification (FLBC) method for automated identification of nodules in radiological images
US6654728B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 25, 2000 |
| Grant date | Nov 25, 2003 |
| Priority date | — |
| Expiry date | Nov 27, 2021 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A fuzzy logic based classification (FLBC) method for the automated discrimination of objects and the automated identification of nodules based on their features, a computer programmed to implement the method, and a storage medium which stores a program for implementing the method, wherein nodule (or, object) features are first normalized and then automatically selected. Based on the selected features, suspect nodules (or, objects) are pre-grouped and then subjected to the corresponding trained linear classifier to remove those false positive nodules or abnormal objects that are linearly separable. Finally, the remaining suspect nodules or objects are further subjected to a trained fuzzy classifier for removing those false positive nodules or abnormal objects that are not linearly separable.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.