Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-12569-z
Abstract: There has been recent substantial interest in extracting sub-visual features from medical images for improved disease characterization compared to what might be achievable via visual inspection alone. Features such as Haralick and Gabor can provide… read more here.
Keywords: discriminative scale; prostate cancer; scale learning; approach ... See more keywords
Randomized Block Frank–Wolfe for Convergent Large-Scale Learning
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2755597
Abstract: Owing to their low-complexity iterations, Frank–Wolfe (FW) solvers are well suited for various large-scale learning tasks. When block-separable constraints are present, randomized block FW (RB-FW) has been shown to further reduce complexity by updating only… read more here.
Keywords: large scale; block; randomized block; frank wolfe ... See more keywords