A voxel-based neural approach (VBNA) to identify lung nodules in the ANODE09 study

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7260, Issue , 2009, Pages

  Retico, Alessandra ^a   Bagagli, Francesco ^a,b   Camarlinghi, Niccolò ^a,b   Carpentieri, Carmela ^a,b   Fantacci, Maria Evelina ^a,b   Gori, Ilaria ^a,c  

^a INFN SEZIONE DI PISA   (Italy)

^b UNIVERSITY OF PISA   (Italy)

^c Bracco Imaging SpA   (Italy)

Author keywords

ANODE09; Diagnostic task: detection, internal nodules, juxtapleural nodules; Methods: feature extraction, classification; Modalities: X ray CT

Indexed keywords

ANODE09; COMPUTED TOMOGRAPHY; COMPUTER-AIDED DETECTION; DATA SETS; DIAGNOSTIC TASK: DETECTION, INTERNAL NODULES, JUXTAPLEURAL NODULES; ENHANCEMENT ALGORITHMS; JUXTAPLEURAL NODULES; LOW DOSE; LUNG NODULE; METHODS: FEATURE EXTRACTION, CLASSIFICATION; MODALITIES: X-RAY CT; NEURAL CLASSIFIERS; PULMONARY NODULES; SURFACE NORMALS; TEST CASE;

COMPUTERIZED TOMOGRAPHY; FEATURE EXTRACTION; MAMMOGRAPHY; MEDICAL IMAGING; NEURAL NETWORKS; STATISTICAL TESTS; THREE DIMENSIONAL; TOMOGRAPHY;

COMPUTER AIDED DIAGNOSIS;

EID: 66749175280     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811721     Document Type: Conference Paper

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