Rough morphology hybrid approach for mammography image classification and prediction

International Journal of Computational Intelligence and Applications

Volumn 7, Issue 1, 2008, Pages 17-42

  Hassanien, Aboul Ella ^a   Abraham, Ajith ^b  

^a CAIRO UNIVERSITY   (Egypt)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Breast cancer image analysis; Mathematical morphology; Rough sets

Indexed keywords

DIAGNOSTIC RADIOGRAPHY; EDGE DETECTION; FUZZY LOGIC; FUZZY SETS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; IMAGE PROCESSING; MEDICAL IMAGING; MEDICAL PROBLEMS; MORPHOLOGY; NEURAL NETWORKS; ROUGH SET THEORY; SET THEORY;

ATTRIBUTE REDUCTIONS; BREAST CANCER IMAGE ANALYSIS; CANCER.; HYBRID APPROACHES; HYBRID SYSTEMS; IMAGING PROBLEMS; MALIGNANT CANCERS; OCCURRENCE MATRIXES; OPTIMAL ORIENTATIONS; ORIGINAL IMAGES; OVERALL PERFORMANCES; REGION OF INTERESTS; ROUGH SETS; RULE GENERATIONS;

MATHEMATICAL MORPHOLOGY;

EID: 55249115392     PISSN: 14690268     EISSN: None     Source Type: Journal    
DOI: 10.1142/S1469026808002181     Document Type: Article

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