BI-RADS Breast Tumor Classification Through Image Mining | Zendy

Valesca J. S. da Silva | Zendy; Mateus M. R. da Silva | Zendy; Marcelino P. S. Silva | Zendy; Joaogueira | Zendy

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BI-RADS Breast Tumor Classification Through Image Mining

Author(s) -

Valesca J. S. da Silva,

Mateus M. R. da Silva,

Marcelino P. S. Silva,

Joaogueira

Publication year - 2019

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/kdmile.2019.8791

Subject(s) - bi rads , mammography , computer science , artificial intelligence , breast cancer , contextual image classification , breast imaging , pattern recognition (psychology) , image (mathematics) , cancer , medicine

In this article, a computer aided diagnostic system for BI-RADS classification of breast cancer is proposed. The approach involves image processing capabilities to extract features from tumors in mammography and image mining to classify them as BI-RADS 2, BI-RADS 3, BI-RADS 4C or BI-RADS 5. Images from the BCDR repository were used for the experiments. The results showed the efficacy of the proposed method, which classified tumors with considerable accuracy in four BI-RADS categories.

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