Improve Breast Cancer Detection in Mammography Images Using Neuro-Fuzzy

Aioub Zeinvand Lorestani, Dr Amir Massoud Bidgoli, Dr Mashallah Abbasi Dezfoli

Abstract


Breast cancer is the second largest cause of cancer deaths among women. Breast Cancer is one of the major tumor related of death in women. The most effective way to reduce breast cancer deaths is detect it earlier. This paper outlines an approach for recognizing breast cancer diagnosis using neuro-fuzzy inference technique namely ANFIS (Adaptative Neuro-Fuzzy Inference System) in order for better detection and prognosis of breast cancer in mammography images. Results that the best performances are obtained by our model compared to others cited in literature (an accuracy of 98 %).


Keywords: Breast cancer; Neuro-Fuzzy inference; ANFIS; Mammography; Accuracy.


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DOI: https://doi.org/10.26483/ijarcs.v4i10.1896

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