J-net: An adaptive system for computer-aided diagnosis in lung nodule characterization

Data Mining Applications Using Artificial Adaptive Systems

Volumn 9781461442233, Issue , 2012, Pages 25-61

  Buscema, Massimo ^a,b   Passariello, Roberto ^c   Grossi, Enzo ^d   Massini, Giulia ^a   Fraioli, Francesco ^c   Serra, Goffredo ^c  

^a Semeion centro ricerche di scienze della communicazione   (Italy)

^b UNIVERSITY OF COLORADO   (United States)

^c SAPIENZA UNIVERSITY OF ROME   (Italy)

^d Bracco SpA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE SYSTEMS; BIOLOGICAL ORGANS; COMPLEX NETWORKS; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; IMAGE FUSION; IMAGE SEGMENTATION; MULTIDETECTOR COMPUTED TOMOGRAPHY; NEURAL NETWORKS; OPTIMIZATION;

DYNAMIC IMAGE SEGMENTATIONS; EXPERIMENTAL METHODS; MATHEMATICAL ALGORITHMS; MULTI-DIMENSIONAL SCALING; OVERALL ACCURACIES; PREDICTIVE PERFORMANCE; PROCESSING SYSTEMS; TRAINING AND TESTING;

COMPUTER AIDED DIAGNOSIS;

EID: 84929620328     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-4223-3_2     Document Type: Chapter

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