Sonography images for breast cancer texture classification in diagnosis of malignant or benign tumors

2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010

Volumn , Issue , 2010, Pages

  Babaghorbani, P ^a   Parvaneh, S ^b   Ghassemi, A R ^c   Manshai, K ^b  

^a Young Researchers Club   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Breast sonography; Gray level cooccurrence matrix; Texture

Indexed keywords

BENIGN TUMOR; BREAST CANCER; BREAST SONOGRAPHY; BREAST TUMOR; CLASSIFICATION ANALYSIS; CLASSIFICATION RESULTS; CONFUSION MATRICES; CRITICAL ANGLES; CRITICAL DISTANCE; GRAY LEVEL CO-OCCURRENCE MATRIX; K-MEANS METHOD; LABELED IMAGES; MATLAB- SOFTWARE; RECTANGULAR SHAPES; TEXTURE CLASSIFICATION; TUMOR IMAGES;

BIOINFORMATICS; TEXTURES; TUMORS; ULTRASONIC IMAGING; ULTRASONOGRAPHY;

FEATURE EXTRACTION;

EID: 77956161909     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2010.5516073     Document Type: Conference Paper

References (9)

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3. W. Chen, et al., "Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images," Magnetic Resonance in Medicine, vol. 58, pp. 562-571, 2007.
4. A. Alvarenga, et al., "Complexity curve and grey level cooccurrence matrix in the texture evaluation of breast tumor on ultrasound images," Medical Physics, vol. 34, p. 379, 2007.
5. K. Holli, et al., "Detection of characteristic texture parameters in breast MRI," 2008.
6. J. Wu, et al., "Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation," 2008, pp. 263-267.
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