Lung nodule classification with multilevel patch-based context analysis

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 4, 2014, Pages 1155-1166

  Zhang, Fan ^a   Song, Yang ^a   Cai, Weidong ^a   Lee, Min Zhao ^a,b   Zhou, Yun ^c   Huang, Heng ^d   Shan, Shimin ^e   Fulham, Michael J ^b   Feng, Dagan D ^a,f,g  

^a UNIVERSITY OF SYDNEY   (Australia)

^b ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d University of Texas at Arlington   (United States)

^e DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^f HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^g SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Classification; feature design; latent semantic analysis; patch division

Indexed keywords

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; SEMANTICS;

ANATOMICAL STRUCTURES; CLASSIFICATION METHODS; CLASSIFICATION PERFORMANCE; GRADIENT INFORMATIONS; LATENT SEMANTIC ANALYSIS; MULTILEVEL PARTITION; PATCH DIVISIONS; PROBABILISTIC ESTIMATION;

CLASSIFICATION (OF INFORMATION);

ANATOMICAL CONCEPTS; ARTICLE; CLASSIFICATION; CLASSIFIER; COMPUTER ASSISTED TOMOGRAPHY; DENSITY GRADIENT; DISEASE CLASSIFICATION; LUNG NODULE; MULTILEVEL ANALYSIS; SEMANTICS;

HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG NEOPLASMS; SEMANTICS; SUPPORT VECTOR MACHINES;

EID: 84897470683     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2295593     Document Type: Article

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