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» New Features to Identify Computer Generated Images
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CVPR
2011
IEEE
14 years 5 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
ICCV
2003
IEEE
15 years 6 months ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape
ICIAR
2005
Springer
15 years 7 months ago
Determining Multiscale Image Feature Angles from Complex Wavelet Phases
In this paper, we introduce a new multiscale representation for 2-D images named the Inter-Coefficient Product (ICP). The ICP is a decimated pyramid of complex values based on the ...
Ryan Anderson, Nick G. Kingsbury, Julien Fauqueur
ISBI
2007
IEEE
15 years 7 months ago
Head and Neck Cancer Patient Similarity Based on Anatomical Structural Geometry
As we develop radiation treatment planning systems for head and neck cancer patients, there is a need to identify reference patients whose anatomical structures share similar feat...
Chia-Chi Teng, Linda G. Shapiro, Ira J. Kalet, Car...
98
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ICIP
2006
IEEE
16 years 3 months ago
Curvelet-Based Texture Classification of Tissues in Computed Tomography
The research presented in this article is aimed at the development of an automated imaging system for classification of tissues in medical images obtained from Computed Tomography...
Lindsay Semler, Lucia Dettori