Combination of computer-aided detection algorithms for automatic lung nodule identification

International Journal of Computer Assisted Radiology and Surgery

Volumn 7, Issue 3, 2012, Pages 455-464

  Camarlinghi, Niccolò ^a,b   Gori, Ilaria ^c   Retico, Alessandra ^b   Bellotti, Roberto ^d,e   Bosco, Paolo ^f,g   Cerello, Piergiorgio ^h   Gargano, Gianfranco ^d,e   Torres, Ernesto Lopez ⁱ   Megna, Rosario ^d,e   Peccarisi, Marco ^j,k   Fantacci, Maria Evelina ^a,b  

^a UNIVERSITY OF PISA   (Italy)

^b INFN SEZIONE DI PISA   (Italy)

^c Bracco Imaging SpA   (Italy)

^d UNIVERSITY OF BARI   (Italy)

^e INFN SEZIONE DI BARI   (Italy)

^f UNIVERSITY OF GENOA   (Italy)

^g INFN SEZIONE DI GENOVA   (Italy)

^h SEZIONE DI TORINO   (Italy)

ⁱ CENTRO DE APLICACIONES TECNOLÓGICAS Y DESARROLLO NUCLEAR CEADEN   (Cuba)

^j UNIVERSITY OF SALENTO   (Italy)

^k INFN SEZIONE DI LECCE   (Italy)

more..

Author keywords

Computed tomography; Computer aided detection; Lung cancer; Medical image analysis; Pattern recognition

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CLASSIFIER; COMPUTER AIDED DESIGN; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; FALSE POSITIVE RESULT; IMAGE DISPLAY; IMAGE PROCESSING; IMAGING SYSTEM; INTERMETHOD COMPARISON; LUNG NODULE; PLEURA CAVITY; PLEURA DISEASE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; THREE DIMENSIONAL IMAGING; VOXEL BASED NEURAL APPROACH;

EID: 84862988310     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-011-0637-6     Document Type: Article

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