A novel multithreshold method for nodule detection in lung CT

Medical Physics

Volumn 36, Issue 8, 2009, Pages 3607-3618

  Golosio, Bruno ^a   Masala, Giovanni Luca ^a   Piccioli, Alessio ^a   Oliva, Piernicola ^a   Carpinelli, Massimo ^a   Cataldo, Rosella ^b   Cerello, Piergiorgio ^c   De Carlo, Francesco ^d   Falaschi, Fabio ^e   Fantacci, Maria Evelina ^e   Gargano, Gianfranco ^d   Kasae, Parnian ^f   Torsello, Massimo ^g  

^a UNIVERSITY OF SASSARI   (Italy)

^b UNIVERSITY OF SALENTO   (Italy)

^c SEZIONE DI TORINO   (Italy)

^d UNIVERSITY OF BARI   (Italy)

^e UNIVERSITY OF PISA   (Italy)

^f UNIVERSITY OF SIENA   (Italy)

^g VITO FAZZI HOSPITAL   (Italy)

Author keywords

Computed tomography (CT); Computer aided diagnosis (CAD); Image processing; Image segmentation

Indexed keywords

BIOLOGICAL ORGANS; BLOOD VESSELS; COMPUTER AIDED DIAGNOSIS; FEATURE EXTRACTION; FORESTRY; IMAGE PROCESSING; IMAGE SEGMENTATION; INTERACTIVE COMPUTER SYSTEMS; TRIANGULATION;

COMPUTER AIDED DETECTION SYSTEMS; COMPUTER AIDED DIAGNOSIS(CAD); FALSE-POSITIVE REDUCTION; LUNG CANCER DETECTIONS; LUNG NODULE DETECTION; MULTI-THRESHOLD METHODS; MULTISLICE COMPUTED TOMOGRAPHY; SURFACE TRIANGULATION;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER DIAGNOSIS; LUNG CANCER; LUNG NODULE; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; RADIOLOGIST;

EID: 68149163602     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3160107     Document Type: Article

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