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CVPR
2011
IEEE
14 years 9 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
HISB
2011
92views more  HISB 2011»
14 years 5 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
PR
2010
126views more  PR 2010»
15 years 4 months ago
Discriminability and reliability indexes: Two new measures to enhance multi-image face recognition
In order to handle complex face image variations in face recognition, multi-image face recognition has been proposed, instead of using a single still-imagebased approach. In many ...
Weiwen Zou, Pong C. Yuen
CVPR
2004
IEEE
16 years 8 months ago
Automatic Method for Correlating Horizons across Faults in 3D Seismic Data
Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of ...
Fitsum Admasu, Klaus D. Tönnies
SEMWEB
2007
Springer
16 years 4 days ago
mle: Enhancing the Exploration of Mailing List Archives Through Making Semantics Explicit
Following and understanding discussions on mailing lists is a prevalent task for executives and policy makers in order to get an impression of one’s company image. However, exist...
Michael Hausenblas, Herwig Rehatschek