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KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 5 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
BILDMED
2008
176views Algorithms» more  BILDMED 2008»
13 years 6 months ago
Edge-Preserving Denoising for Segmentation in CT-images
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In ord...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo...
PAMI
2007
208views more  PAMI 2007»
13 years 4 months ago
Biometric Recognition Using 3D Ear Shape
—Previous works have shown that the ear is a promising candidate for biometric identification. However, in prior work, the preprocessing of ear images has had manual steps and al...
Ping Yan, Kevin W. Bowyer
BMCBI
2007
157views more  BMCBI 2007»
13 years 5 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
ARTMED
2006
85views more  ARTMED 2006»
13 years 5 months ago
Using ontologies linked with geometric models to reason about penetrating injuries
Medical assessment of penetrating injuries is a difficult and knowledge-intensive task. Physical examination and computed tomographic (CT) imaging data must be combined with detai...
Daniel L. Rubin, Olivier Dameron, Yasser Bashir, D...