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Database-Guided Segmentation of Anatomical Structures with Complex Appearance

8 years 10 months ago
Database-Guided Segmentation of Anatomical Structures with Complex Appearance
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such strategies require the a priori knowledge to be explicitly defined in the optimization criterion, e.g., “high-gradient border”, “smoothness”, or “similar intensity or texture”. This approach is limited by the validity of underlying assumptions and cannot capture complex structure appearance. This paper introduces database-guided segmentation as a new data-driven paradigm that directly exploits expert annotation of interest structures in large medical databases. Segmentation is formulated as a twostep learning problem. The first step is structure detection where we learn how to discriminate between the object of interest and background. The resulting classifier based on a boosted cascade of simple features also provides a global rigid transformation of the structure. The second step is shape inf...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2005
Where CVPR
Authors Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu, Alok Gupta
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