Hybrid tolerance rough set: PSO based supervised feature selection for digital mammogram images

International Journal of Fuzzy System Applications

Volumn 3, Issue 4, 2013, Pages 15-30

  Jothi, G ^a   Inbarani, H Hannah ^b   Azar, Ahmad Taher ^c  

^a SONA COLLEGE OF TECHNOLOGY   (India)

^b PERIYAR UNIVERSITY   (India)

^c Benha University   (Egypt)

Author keywords

Classification; Feature extraction; Hybrid intelligent techniques; Mammogram images; Particle Swarm optimization; Segmentation (PSO); Supervised feature selection; Tolerance rough set (TRS)

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISCRETE EVENT SIMULATION; FEATURE EXTRACTION; IMAGE SEGMENTATION; MAMMOGRAPHY; PARTICLE SWARM OPTIMIZATION (PSO); SEMANTICS; X RAY SCREENS;

DIAGNOSTIC ACCURACY; DIGITAL MAMMOGRAMS; DISCRETIZATION METHOD; INTELLIGENT TECHNIQUES; MALIGNANT TUMORS; MAMMOGRAM IMAGES; REAL-VALUED DATA; TOLERANCE ROUGH SETS;

ROUGH SET THEORY;

EID: 84897528912     PISSN: 2156177X     EISSN: 21561761     Source Type: Journal    
DOI: 10.4018/ijfsa.2013100102     Document Type: Article

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