3D shape analysis for early diagnosis of malignant lung nodules.

Information processing in medical imaging : proceedings of the ... conference

Volumn 22, Issue , 2011, Pages 772-783

  El Bazl, Ayman ^a   Nitzken, Matthew ^b   Khalifa, Fahmi ^b   Elnakib, Ahmed ^b   Gimel'farb, Georgy ^b   Falk, Robert ^b   El Ghar, Mohammed Abo ^b  

^a University of Louisville

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EARLY DIAGNOSIS; HUMAN; IMAGE QUALITY; LUNG NODULE; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EARLY DIAGNOSIS; HUMANS; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 80052326546     PISSN: 10112499     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (0)