Breast Cancer Diagnosis and Classification Improvement based on Deep Learning and image Processing methods

Articles in Press

Document Type : Original Article

Authors

1 Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran

2 Faculty of Engineering, Islamic Azad University, Gorgan Branch, Gorgan, Iran

Abstract

Todays, medical intelligence detection systems thanks to artificial intelligence have been changed and also faced with some challenges. Breast cancer diagnosis and classification is one of these medical intelligence system. There are a variety of screening techniques available to detect breast cancer such as mammography, magnetic resonance imaging and ultrasound. This research used MIAS mammography image dataset and try to diagnose and classify benign, malignant masses based on image processing and machine learning techniques. at first, apply pre-processing for noise reduction and image enhancement based on Quantum Inverse MFT, and then image segmentation with Social Spider Algorithm.The type of mass is then diagnosed by the deep neural network(CNN). Obtained results presented that proposed approach have better performance in comparison to others based on some evaluation criteria such as accuracy with 99.57%, sensitivity

Keywords

Soft Computing Journal

Articles in Press, Accepted Manuscript
Available Online from 13 December 2022

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History

  • Receive Date: 24 May 2022
  • Revise Date: 15 November 2022
  • Accept Date: 13 December 2022

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