Group-sparse nonnegative supervised canonical correlation analysis (GNCCA): United States Patent 9984212

By: Madabhushi, Anant

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.

• Format: Paperback
• Language: English
• ISBN: B08RH34VKS
• ISBN13: 9798584491826
• Release Date: January 1
• Publisher: Independently Published
• Length: 26 Pages
• Weight: 0.19 lbs.
• Dimensions: 0.1" x 8.5" x 11.0"