Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 2072-2075

  Hua, Panfang ^a   Song, Qi ^a   Sonka, Milan ^a   Hoffman, Eric A ^a,b   Reinhardt, Joseph M ^a  

^a University of Iowa   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

CT; Graph Search; Lung; Pulmonary; Segmentation

Indexed keywords

AUTOMATIC ALGORITHMS; AUTOMATIC SEGMENTATIONS; BOUNDARY SMOOTHNESS; CT; CT DATA; CT IMAGE; GRAPH SEARCH; GRAPH-SEARCH ALGORITHMS; HAUSDORFF DISTANCE; INTENSITY CHANGE; LUNG; LUNG CT; LUNG SEGMENTATION; LUNG TISSUE; PULMONARY; SEGMENTATION ALGORITHMS; SEGMENTATION RESULTS; TISSUE DENSITY;

ALGORITHMS; BIOLOGICAL ORGANS; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; MACROS; MEDICAL IMAGING; THREE DIMENSIONAL; TISSUE;

COMPUTERIZED TOMOGRAPHY;

EID: 80055033126     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872820     Document Type: Conference Paper

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