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Title:

Bronchial region extraction from 3D chest CT image by voxel classification based on local intensity structure

Document type:
Konferenzbeitrag
Author(s):
Kitasaka, T.; Yano, H.; Feuerstein, M.; Mori, K.
Abstract:
This paper presents a method for extracting bronchial regions from 3D chest CT images by voxel classification based on local intensity structure. Most of previous methods are based on trace of bronchial tree structures by region growing algorithms, so that it fails when the bronchial lumen is interrupted by abnormals such as tumor. Thus, we focus on detecting candidate voxels which have bronchus-like intensity structure and selecting appropriate candidates from them, instead of tracing the bronc...     »
Keywords:
CAMP,Medicine,ComputerAidedSurgery,MedicalImaging,Seg,MICCAI
Book / Congress title:
Third International Workshop on Pulmonary Image Analysis
Year:
2010
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