Superpixel texture analysis for classification of breast masses in dense background

Author:

Sajeev Shelda12,Bajger Mariusz12,Lee Gobert12

Affiliation:

1. Medical Devices Research Institute, Flinders UniversityBedford ParkAustralia

2. College of Science and Engineering, Flinders UniversityBedford ParkAustralia

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Reference39 articles.

1. ‘World Cancer Research Fund International’. Available athttp://www.wcrf.org/int/cancer‐facts‐figures/data‐specific‐cancers/breast‐cancerstatistics accessed July 2017

2. American Cancer Society Cancer Facts and Figures 2017. Available athttps://www.cancer.org/research/cancer‐facts‐statistics/all‐cancer‐factsfigures/cancer‐facts‐figures‐2017.html accessed July 2017

3. Impact of mammographic breast density on computer‐assisted detection (CAD) in a breast imaging department;Castellano C.R.;Radiologia,2011

4. Breast patterns as an index of risk for developing breast cancer

5. Hormone Replacement Therapy and Breast Cancer: Heterogeneous Risks by Race, Weight, and Breast Density

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