Curvelet based texture features for breast cancer classifications

• Main Authors: Yasiran, Siti Salmah, Salleh, Shaharuddin, Sarmin, Norhaniza, Mahmud, Rozi, Abd. Halim, Suhaila
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/94572/1/ShaharuddinSalleh2021_CurveletBasedTextureFeaturesforBreastCancerClassifications.pdf; http://eprints.utm.my/id/eprint/94572/; http://dx.doi.org/10.1088/1742-6596/1988/1/012037

One of the sources of death among women is breast cancer. It is well known that Mammogram is the best method for breast cancer detection. Subsequently, there are solid requirements for the improvement of computer aided diagnosis (CAD) systems to assist radiologists in making decision. In this paper,...