Neural network assisted multi-spectral segmentation system
US6463425B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 18, 1998 |
| Grant date | Oct 8, 2002 |
| Priority date | — |
| Expiry date | Mar 18, 2018 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A neural network assisted multi-spectral segmentation method and system. According to the invention, three images having different optical bands are acquired for the same micrographic scene of a biological sample. The images are processed and a cellular material map is generated identifying cellular material. The cellular material map is then applied to a neural network. The neural network classifies the cellular material map into nuclear objects and cytoplasmic objects by determining a threshold surface in the 3-dimensional space separating the cytoplasmic and nuclear regions. In another aspect, the neural network comprises a hardware-encoded algorithm in the form of a look-up table.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.