Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009; 12th International C Guang-Zhong Yang,David Hawkes,Chris Taylor

GIST

0302-9743 ns on shape modelling and analysis; motion analyysis, physical based modelling and image reconstruction; neuro, cell and multiscale image analysis; image analysis and computer aided diagnosis; and image segmentation and analysis.978-3-642-04270-6978-3-642-04271-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

Antioxidant

Building Shape Models from Lousy Datamponent analysis, which allows for a principled way to handle missing data. Our experiments on 2D synthetic and real 3D medical data sets confirm the feasibility of the approach. We show that it yields superior models compared to approaches using robust statistics, which only downweight the influence of outliers.

ABYSS

Statistical Location Model for Abdominal Organ Localizationer, left kidney, right kidney, spleen and pancreas. We validated our method on 12 abdominal CTs using leave-one-out experiments. The SLM enabled reduction in the overall localization error from 62.0±28.5 mm to 5.8±1.5 mm. Experiments showed that the SLM was robust to the reference model selection.

altruism

季雨

anus928

vibrant

獨(dú)輪車

Common-Migraine

Mawkish

Conference proceedings 2009puter-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The second volume includes 134 papers divided in topical sections on shap