Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms

International Journal of Computer Assisted Radiology and Surgery

Volumn 4, Issue 1, 2009, Pages 11-25

  Guo, Qi ^a,b   Shao, Jiaqing ^c   Ruiz, Virginie F ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF READING   (United Kingdom)

^c UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Architectural distortion; Breast cancer; Fractal dimension; Lacunarity; Mammography; Mass lesion; Support vector machines; Texture analysis

Indexed keywords

ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED RADIOGRAPHY; CONTROLLED STUDY; DIGITAL MAMMOGRAPHY; FEMALE; FRACTAL ANALYSIS; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE;

EID: 63149114293     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-008-0276-8     Document Type: Article

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