Efficient Classification of Breast Lesion based on Deep Learning Technique  

Abstract

 In this paper, a new method for Classification of Breast Cancer Images using deep Learning Algorithm are proposed. The Classification Algorithm appears as various features extracted from Healthy Breast images and Unhealthy Breast images. The segmentation algorithm is Deep learning and then Classification Tool is ANN (Artificial Neural Network). Algorithms are performed and different features are extracted. The features are Breast Image Mean, Breast Image Standard Deviation, Breast image Peak Signal to Noise Ratio (PSNR), breast image Contrast to Noise Ratio (CNR). ANN tool showing breast image results.

Authors and Affiliations

Bandita Sen, V. Vedanarayanan

Keywords

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  • EP ID EP149187
  • DOI 10.9756/BIJAIP.10446
  • Views 126
  • Downloads 0

How To Cite

Bandita Sen, V. Vedanarayanan (2016). Efficient Classification of Breast Lesion based on Deep Learning Technique  . Bonfring International Journal of Advances in Image Processing, 6(1), 1-6. https://europub.co.uk/articles/-A-149187