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CBMS
2009
IEEE
13 years 11 months ago
Lessons learned in developing a low-cost high performance medical imaging cluster
This paper explores the usefulness of the Sony PlayStation 3 R (PS3) for medical image processing. Medical image processing often entails dealing with a large number of high resol...
Kirt D. Lillywhite, Dah-Jye Lee, Sameer Antani, Do...
ISBI
2008
IEEE
14 years 5 months ago
Automated proteome-wide determination of subcellular location using high throughput microscopy
A major source of information for identifying subcellular location on a proteome-wide basis will be imaging of tagged proteins in living cells using fluorescence microscopy. We ha...
Robert F. Murphy
ISBI
2008
IEEE
14 years 5 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith
ISBI
2011
IEEE
12 years 8 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
13 years 10 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...