A Study of Different Features and Classification of Histophathological Image

Authors

  • Prachi Prajapati  PG Student, Sardar Vallabhbhai Patel Institute of Technology, Vasad, Gujarat, India
  • Bijal Talati  Head of Computer Engineering Department, Sardar Vallabhbhai Patel Institute of Technology, Vasad, Gujarat, India

Keywords:

Breast Cancer, histopathological images, Image Processing, image features, classification techniques

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prachi Prajapati, Bijal Talati, " A Study of Different Features and Classification of Histophathological Image, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1815-1820, March-April-2018.