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» Segmentation of medical images using a genetic algorithm
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ISBI
2007
IEEE
15 years 6 months ago
Noise and Artifact Removal in Knife-Edge Scanning Microscopy
Knife-Edge Scanning Microscopy (KESM) is a recently developed technique that allows fast and automated imaging of several hundred cubic millimeters of tissue at sub-micron resolut...
David Mayerich, Bruce H. McCormick, John Keyser
HAPTICS
2005
IEEE
15 years 5 months ago
A Haptic Interaction Technique for Volume Images Based on Gradient Diffusion
The manual step in semi-automatic segmentation of medical volume images typically involves initialization procedures such as placement of seed-points or positioning of surface mod...
Erik Vidholm, Ingela Nyström
MICCAI
2009
Springer
15 years 9 months ago
Joint Segmentation of Image Ensembles via Latent Atlases
Abstract. Spatial priors, such as probabilistic atlases, play an important role in MRI segmentation. However, the availability of comprehensive, reliable and suitable manual segmen...
Tammy Riklin Raviv, Koen Van Leemput, William M. W...
IPMI
2005
Springer
16 years 20 days ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
MICCAI
2002
Springer
16 years 21 days ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass