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» Segmentation of medical images using a genetic algorithm
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SCALESPACE
2009
Springer
15 years 11 months ago
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentati...
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F...
FIMH
2003
Springer
16 years 1 days ago
Motion Analysis of 3D Ultrasound Texture Patterns
We model the process of imaging soft tissues with a 3D ultrasound probe using a linear convolution model, and obtain analytical expressions of both the ultrasound image and its spe...
Weichuan Yu, Ning Lin, Ping Yan, Kailasnath Purush...
CVPR
2009
IEEE
17 years 1 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
ISBI
2004
IEEE
16 years 7 months ago
Tomographic Reconstruction From an Uncontrolled Sensor Trajectory
For many medical procedures 3D bone models are built from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) data, both of which are expensive and time consuming, and un...
Chris Baker, Christian Debrunner, William Hoff, Ja...
ICIAR
2005
Springer
16 years 10 days ago
Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences
Abstract. Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature ...
Turgay Çelik, Cem Direkoglu, Hüseyin &...