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TMI
1998
140views more  TMI 1998»
15 years 6 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
TCSV
2002
161views more  TCSV 2002»
15 years 6 months ago
Blocking artifact detection and reduction in compressed data
A novel frequency-domain technique for image blocking artifact detection and reduction is presented in this paper. The algorithm first detects the regions of the image which presen...
George A. Triantafyllidis, Dimitrios Tzovaras, Mic...
TIP
2002
98views more  TIP 2002»
15 years 6 months ago
Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior
We address the problem of Bayesian image reconstruction with a prior that captures the notion of a clustered intensity histogram. The problem is formulated in the framework of a j...
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
PR
2007
96views more  PR 2007»
15 years 6 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof
MICCAI
2010
Springer
15 years 5 months ago
Brain Morphometry by Probabilistic Latent Semantic Analysis
The paper proposes a new shape morphometry approach to combine advanced classification techniques with geometric features in order to identify morphological abnormalities on brain...
Umberto Castellani, Alessandro Perina, Vittorio Mu...
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