Segmentation of Lung Nodules in Computed Tomography Images Using Dynamic Programming and Multidirection Fusion Techniques1

Academic Radiology

Volumn 16, Issue 6, 2009, Pages 678-688

  Wang, Qian ^a   Song, Enmin ^a   Jin, Renchao ^a   Han, Ping ^a   Wang, Xiaotong ^a   Zhou, Yanying ^a   Zeng, Jianchao ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

computed tomography; Computer aided diagnosis; dynamic programming; lung nodule segmentation; multidirection fusion

Indexed keywords

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING SYSTEM; INTERMETHOD COMPARISON; LUNG NODULE; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 65549085126     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2008.12.019     Document Type: Article

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