Automatic classification for solitary pulmonary nodule in CT image by fractal analysis based on fractional Brownian motion model

Pattern Recognition

Volumn 46, Issue 12, 2013, Pages 3279-3287

  Lin, Phen Lan ^a   Huang, Po Whei ^b   Lee, Cheng Hsiung ^b   Wu, Ming Ting ^c,d  

^a PROVIDENCE UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^c KAOHSIUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^d NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

Brownian motion; Classification; CT image; Fractal dimension; Fractional; Solitary pulmonary nodule

Indexed keywords

AUTOMATIC CLASSIFICATION; CT IMAGE; FRACTIONAL; FRACTIONAL BROWNIAN MOTION MODEL; NEGATIVE PREDICTIVE VALUE; POSITIVE PREDICTIVE VALUES; PULMONARY NODULES; SUPPORT VECTOR MACHINE CLASSIFIERS;

BROWNIAN MOVEMENT; CLASSIFICATION (OF INFORMATION); FRACTAL DIMENSION; POSITRON EMISSION TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

EID: 84881051969     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2013.06.017     Document Type: Article

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