Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8315, Issue , 2012, Pages

  Wang, Xingwei ^a   Song, Xiaofei ^b   Chapman, Brian E ^b   Zheng, Bin ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

Computer aided detection (CAD); Pulmonary embolism; Vessel Segment

Indexed keywords

COMPUTER-AIDED DETECTION; FALSE POSITIVE DETECTION; K-NEAREST NEIGHBOR CLASSIFIERS (KNN); PULMONARY EMBOLISM; ROLLING-BALL ALGORITHMS; SEGMENTATION ALGORITHMS; VASCULAR TREE SEGMENTATION; VESSEL SEGMENTS;

ALGORITHMS; BIOLOGICAL ORGANS; FORESTRY; IMAGE PROCESSING; MAMMOGRAPHY; MEDICAL IMAGING; NEURAL NETWORKS; TREES (MATHEMATICS);

COMPUTER AIDED DIAGNOSIS;

ALGORITHMS; BIOMETRICS; COMPUTER PROGRAMING; IMAGE ANALYSIS; NEURAL NETWORKS;

EID: 84874872565     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.911301     Document Type: Conference Paper

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