Group-sparse nonnegative supervised canonical correlation analysis (GNCCA)
US9984212B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2015 |
| Grant date | May 29, 2018 |
| Priority date | — |
| Expiry date | Mar 28, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, application specific integrated circuits (ASIC)s and other embodiments associated with analyzing a cancerous prostate using group-sparse non-negative canonical correlation analysis (GNCCA) with a variable importance in the projections (VIP) score are described. One example apparatus includes a set of logics that acquires a set of features from a plurality of feature views of a region of tissue demonstrating cancerous pathology, produces a ranked set of discriminative features using GNCCA with the VIP score, optimizes computation of the GNCCA using a vector-block coordinate descent (BCD) approach, and provides a prostate cancer (CaP) grade or a biochemical recurrence (BcR) score based on the set of discriminative features. Embodiments of example apparatus may generate and display the CaP grade, BcR score, or set of discriminative features.
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