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» Automatic Brain and Tumor Segmentation
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IPMI
1999
Springer
14 years 8 months ago
ANIMAL+INSECT: Improved Cortical Structure Segmentation
An algorithm for improved automatic segmentation of gross anatomical structures of the human brain is presented that merges the output of a tissue classification process with gross...
D. Louis Collins, Alex P. Zijdenbos, Wim F. C. Baa...
MICCAI
2003
Springer
14 years 8 months ago
Mapping Techniques for Aligning Sulci across Multiple Brains
Visualization and mapping of function on the cortical surface is difficult because of its sulcal and gyral convolutions. Methods to unfold and flatten the cortical surface for vis...
Duygu Tosun, Maryam E. Rettmann, Jerry L. Prince
MICCAI
2001
Springer
13 years 12 months ago
Quantifying Small Changes in Brain Ventricular Volume Using Non-rigid Registration
Abstract. Non-rigid registration can automatically quantify small changes in volume of anatomical structures over time by means of segmentation propagation. Here we use a non-rigid...
Mark Holden, Julia A. Schnabel, Derek L. G. Hill
MICCAI
2001
Springer
13 years 12 months ago
Deformable Organisms for Automatic Medical Image Analysis
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...
MICCAI
2006
Springer
14 years 8 months ago
Segmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
Abstract. The quantitative assessment of neck lymph nodes in the context of malign tumors requires an ecient segmentation technique for lymph nodes in tomographic 3D datasets. We p...
Bernhard Preim, Gero Strauß, Heiko Seim, Ilk...