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» A Learning Method for Automated Polyp Detection
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CVPR
2011
IEEE
12 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
ICPR
2008
IEEE
14 years 6 months ago
Thin layer tissue classification for electronic cleansing of CT colonography data
CT colonography (CTC) is a rapidly evolving technique to screen for colorectal polyps. Fecal residue may occlude or, reversely, mimic polyps. Electronic cleansing aims at removing...
Vincent Frans van Ravesteijn, Frans M. Vos, Iwo Se...
CVPR
2007
IEEE
14 years 7 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi
IPMI
2009
Springer
14 years 6 months ago
Fully-Automated White Matter Hyperintensity Detection With Anatomical Prior Knowledge and Without FLAIR
This paper presents a method for detection of cerebral white matter hyperintensities (WMH) based on run-time PD-, T1-, and T2weighted structural magnetic resonance (MR) images of t...
Charles DeCarli, Christopher Schwarz, Evan Fletche...
MVA
2007
146views Computer Vision» more  MVA 2007»
13 years 6 months ago
A SVM Based Method to Detect Color Shift Defects in IC Packages
Automated Visual Inspection (AVI) is an essential part in the manufacturing process of Integrated Circuit (IC) packages. Contamination a common defect type found in IC packages ap...
R. M. C. B. Ratnayake, Craig Hicks, M. A. Akbari