Computer-aided diagnostic system for breast cancer detection based on optimized segmentation scheme and supervised algorithm

Breast cancer is a serious threat to the womankind and it leads susceptible kinds of for women. The mortality rates due breast increases every single year World Health Organization (WHO) aims reduce occurrence by at least 2.5% per year. can be minimized only when periodical screening carried out. Mammography one effective procedure, which effectively locate earlier signs cancer. As an aid, this work present system detection classification. This segregated into four phases all these aim enhance classification performance. efficiency proposed evaluated against state-of-the-art approaches contribution medical science. computer-aided diagnostic (CADS) proves 98.2% accuracy, with minimal false positive negative in reasonable period time.