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Browsing by Subject "Digital mammogram classifier; Breast cancer; Mass tumor; Microcalcification; Wavelet analysis; ANFIS 1. Introduction The interpretation and analysis of medical images represent an important and exciting part of computer vision and pattern recognition. Developing a computer-aided diagnosis system for cancer diseases, such as breast cancer, to assist physicians in hospitals is becoming of high importance and priority for many researchers and clinical centers. It is a complex process to develop a computer vision system to perform such tasks. The high incidence of breast cancer in women has increased significantly"

Browsing by Subject "Digital mammogram classifier; Breast cancer; Mass tumor; Microcalcification; Wavelet analysis; ANFIS 1. Introduction The interpretation and analysis of medical images represent an important and exciting part of computer vision and pattern recognition. Developing a computer-aided diagnosis system for cancer diseases, such as breast cancer, to assist physicians in hospitals is becoming of high importance and priority for many researchers and clinical centers. It is a complex process to develop a computer vision system to perform such tasks. The high incidence of breast cancer in women has increased significantly"

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  • Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural 
    Rafayah, Mousa; Qutaishat, Munib; Abdallah, Moussa (ELSEVIR, 2005)
    The high incidence of breast cancer in women has increased significantly in the recent years. The most familiar breast tumors types are mass and microcalcification. Mammograms—breast X-ray—are considered the most reliable ...

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