Breast cancer is the maximum joint intrusive cancer in females which is the additional foremost reason of cancer decease in females just subsequently lung cancer. Initial diagnostics suggestively upsurges the likelihoods of accurate cure and survival which is monotonous and frequently primes to a divergence amid practitioners. Computer-aided diagnosis structures exposed prospective for refining the investigative accurateness. Breast cancer classification is developed from computer vision and image processing to deep convolution neural networks. From last 15 years, advances in image processing and computer vision techniques consent computer-aided diagnosis systems to help practitioners designate supplementary dynamic, unprejudiced and reliable in the medical diagnosis procedure. © 2020 SERSC.