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A Study of Different Features and Classification of Histophathological Image

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  • Prachi Prajapati
  • Bijal Talati

Abstract

Breast cancer is the second largest cause of cancer deaths among women. However, detecting this cancer in its first stages helps in saving lives because it is easier to treat and prevent the tumor from expanded. It has two states, known as benign and malignant. The research focuses on identifying malignancy in histopathological images of breast. In this process, it includes three phases viz: i) Image processing ii) Feature Extraction iii) classification. The proposed work gives complete and automated detection of malignancy using both image processing techniques and classification methods.

Suggested Citation

  • Prachi Prajapati & Bijal Talati, 2018. "A Study of Different Features and Classification of Histophathological Image," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 1815-1820, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833712
    Note: Article URL: https://ijsrcseit.com/CSEIT1833712
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