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A Review on Detection of Breast Cancer Cells by Using Various Techniques

  • Vanaja Kandubothula
  • Rajyalakshmi Uppada
  • Durgesh NandanEmail author
Conference paper
  • 20 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1154)

Abstract

This paper discussed a framework for the detection of breast cancer cells by using various techniques. Dangerous cancer is mostly observed in women’s breast. The mortality rate can be decreased when breast cancer is detected at an early stage. By using different techniques, breast cancer cells can be detected. From the past decade, to detect and identify the stage of the cancer, computer-aided diagnosis (CAD) system has been initiated. This system consists of different steps like preprocessing, nuclei detection, segmentation, feature extraction, and classification to detect breast cancer cells. The approaches and methodologies in each step of the CAD system are applied to the images for cancer cell detection. Classification is done by using different classifiers. Features and classification results of different techniques for various images for detecting breast cancer cells are reviewed.

Keywords

CAD system Grayscale image RGB image SVM MLP 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Vanaja Kandubothula
    • 1
  • Rajyalakshmi Uppada
    • 2
  • Durgesh Nandan
    • 2
    Email author
  1. 1.Department of ECEAditya Engineering CollegeSurampalemIndia
  2. 2.Accendere Knowledge Management Services Pvt. Ltd., CL Educate Ltd.New DelhiIndia

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