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» Semi-Automatic Feature Delineation In Medical Images
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MICCAI
1999
Springer
13 years 9 months ago
Automatic Segmentation of Lung Fields in Chest Radiographs
We present algorithms for the automatic delineation of lung fields in chest radiographs. We first develop a rule-based scheme that detects lung contours using a general framework...
Bram van Ginneken, Bart M. ter Haar Romeny
ISBI
2008
IEEE
14 years 6 months ago
A quantification framework for post-lesion neo-vascularization in retinal angiography
We describe an image processing framework designed to detect and quantify the genesis of microscopic choroidal blood vessels. We used fluorescein angiography to monitor the dynami...
Sylvain Takerkart, Romain Fenouil, Jérome P...
MICCAI
2009
Springer
13 years 9 months ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an e...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
ISBI
2007
IEEE
13 years 11 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...
MICCAI
2008
Springer
14 years 6 months ago
Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI
Recent developments in MR data acquisition technology are starting to yield images that show anatomical features of the hippocampal formation at an unprecedented level of detail, p...
Koen Van Leemput, Akram Bakkour, Thomas Benner, ...