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EXTENDED MAMMOGRAM CLASSIFICATION FROM TEXTURAL FEATURES

• Authors : Adél BAJCSI; Camelia CHIRA; Anca ANDREICA

Subjects: Breast cancer detection; Mammogram classification; GLRLM

• Source: Studia Universitatis Babes-Bolyai: Series Informatica, Vol 67, Iss 2 (2023)

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Digital mammogram classification using 2D-BDWT and GLCM features with FOA-based feature selection approach.

• Authors : Mohanty, Figlu¹ (AUTHOR) ; Rup, Suvendu¹ (AUTHOR); Dash, Bodhisattva¹ (AUTHOR)

• Source: Neural Computing & Applications. Jun2020, Vol. 32 Issue 11, p7029-7043. 15p.

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Fuzzy- Rough Feature Selection with Π- Membership Function for Mammogram Classification

• Authors : K. Thangavel; R. Roselin; The Pennsylvania State University CiteSeerX Archives

Subjects: fuzzy sets; rough set; ant-miner

• Source: http://www.ijcsi.org/papers/IJCSI-9-4-3-361-370.pdf.

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MAMMOGRAM CLASSIFICATION USING MAXIMUM DIFFERENCE FEATURE SELECTION METHOD

• Authors : The Pennsylvania State University CiteSeerX Archives

Subjects: Artificial Neural Network (ANN; Breast Cancer; GLCM

• Source: http://www.jatit.org/volumes/Vol33No2/8Vol33No2.pdf.

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Classification of Masses in Digital Mammograms Using the Genetic Ensemble Method

• Authors : Thawkar Shankar; Ingolikar Ranjana

Subjects: digital mammography; decision tree; feature selection

• Source: Journal of Intelligent Systems, Vol 29, Iss 1, Pp 831-845 (2018)

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