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» Incremental learning for segmentation in medical images
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ECCV
2006
Springer
14 years 9 months ago
Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
Abstract. Automatic delineation of anatomical structures in 3-D volumetric data is a challenging task due to the complexity of the object appearance as well as the quantity of info...
Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Srira...
MICCAI
2010
Springer
13 years 5 months ago
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization
Abstract. Heart isolation (separating the heart from the proximity tissues, e.g., lung, liver, and rib cage) is a prerequisite to clearly visualize the coronary arteries in 3D. Suc...
Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin...
AIME
2009
Springer
13 years 8 months ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...
CVPR
2004
IEEE
14 years 9 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
MICCAI
2010
Springer
13 years 5 months ago
Endoscopic Video Manifolds
Postprocedural analysis of gastrointestinal (GI) endoscopic videos is a difficult task because the videos often suffer from a large number of poor-quality frames due to the motion...
Selen Atasoy, Diana Mateus, Joe Lallemand, Alexand...