Large scale validation of the M5L lung CAD on heterogeneous CT datasets

Medical Physics

Volumn 42, Issue 4, 2015, Pages 1477-1489

  Lopez Torres, E ^a   Fiorina, E ^b   Pennazio, F ^b   Peroni, C ^b   Saletta, M ^a   Camarlinghi, N ^c   Fantacci, M E ^c   Cerello, P ^a  

^a SEZIONE DI TORINO   (Italy)

^b UNIVERSITY OF TURIN   (Italy)

^c UNIVERSITY OF PISA   (Italy)

Author keywords

3 D segmentation; ANODE09; computer aided detection (CAD); image processing; LIDC IDRI; lung CT; screening

Indexed keywords

BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; ITERATIVE METHODS;

3-D SEGMENTATION; ANODE09; ANT MODEL; COMPUTER AIDED DETECTION; IMAGES PROCESSING; LARGE-SCALES; LIDC IDRI; LUNG COMPUTED TOMOGRAPHY; PERFORMANCE;

DATABASE SYSTEMS;

ALGORITHM; ARTICLE; CANCER DIAGNOSIS; CLINICAL PRACTICE; COMPUTER AIDED DESIGN; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DATA BASE; DIGITAL IMAGING AND COMMUNICATIONS IN MEDICINE; FOLLOW UP; GOLD STANDARD; IMAGE PROCESSING; LUNG CANCER; LUNG CHANNELER ANT MODEL; LUNG NODULE; LUNG STRUCTURE; LUNG VOLUME; NOISE REDUCTION; NONHUMAN; RADIOLOGIST; VOXEL BASED MORPHOMETRY; VOXEL BASED NEURAL APPROACH; ANATOMY AND HISTOLOGY; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLINICAL TRIAL; FACTUAL DATABASE; HUMAN; INFORMATION PROCESSING; LABORATORY DIAGNOSIS; LUNG; LUNG TUMOR; MULTICENTER STUDY; PATHOLOGY; PROCEDURES; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; DATABASES, FACTUAL; DATASETS AS TOPIC; FALSE POSITIVE REACTIONS; HUMANS; LUNG; LUNG NEOPLASMS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84924559964     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4907970     Document Type: Article

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