Whole tissue classifier for histology biopsy slides
US9060685B2 · kind B2 · utility
2Cited by
3References
8Claims
0Family size
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Key dates
| Filing date | Mar 26, 2013 |
| Grant date | Jun 23, 2015 |
| Priority date | — |
| Expiry date | Aug 20, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a computer implemented method for fully automated tissue diagnosis that trains a region of interest (ROI) classifier in a supervised manner, wherein labels are given only at a tissue level, the training using a multiple-instance learning variant of backpropagation, and trains a tissue classifier that uses the output of the ROI classifier. For a given tissue, the method finds ROIs, extracts feature vectors in each ROI, applies the ROI classifier to each feature vector thereby obtaining a set of probabilities, provides the probabilities to the tissue classifier and outputs a final diagnosis for the whole tissue.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.