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» Interactive Image Segmentation Using an Adaptive GMMRF Model
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ICANN
2009
Springer
15 years 6 months ago
Connectionist Models for Formal Knowledge Adaptation
Abstract. Both symbolic knowledge representation systems and artificial neural networks play a significant role in Artificial Intelligence. A recent trend in the field aims at ...
Ilianna Kollia, Nikos Simou, Giorgos B. Stamou, An...
MIA
2011
170views more  MIA 2011»
14 years 6 months ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...
ICDAR
2009
IEEE
15 years 6 months ago
Script-Independent Handwritten Textlines Segmentation Using Active Contours
Handwritten document images contain textlines with multi orientations, touching and overlapping characters within consecutive textlines, and small inter-line spacing making textli...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
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CVBIA
2005
Springer
15 years 5 months ago
Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction
Abstract. Important attributes of 3D brain segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms ...
Hua Li, Anthony J. Yezzi, Laurent D. Cohen
PAMI
2010
190views more  PAMI 2010»
14 years 10 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...