Breast Cancer Detection using Support Vector Machine

Abstract

Women affected by breast cancer widely all around the world. The most commonly used screening method to detect breast cancer by using Mammographic images. In this paper, watershed segmentation algorithm is used for segmentation and the support vector machine is used to detect either benign or malignant. This avoids unwanted biopsy and stress for women.

Authors and Affiliations

M. Chithra Devi , S. Dhivya Bharathi

Keywords

Related Articles

Mathematical Simulation for Comparison of Unreinforced Concrete and CFRP of I-Beam Using FEM

In present research we are we analyze the I beam using FEM software Ansys14.5 and comparing Unreinforced concrete and CFRP laminates Reinforced concrete components such as beams and columns are made strong in flexure th...

Efficient Data Mining for Increasing Agriculture Productivity

data mining techniques applied to agricultural and their applications to agricultural related areas. In agriculture problem, yield prediction is a very important. The main component of agriculture productivity is the cl...

Performance and Emission Test on Chlorella Algae Oil Blend with Diesel

This study discusses performance and exhaust emission of the vehicle fueled with low content chlorella algae oil (property of the algae oil is similar to the property of diesel) blend with pure diesel in CI engine. The...

A Metamorphosis Approach to Virtual Reality

Virtual Reality is the present day growing scenario that takes place now days. Virtual Reality plays a key role in almost every industry like movies, games, education etc.In this scenario we are going to represent a met...

LTE Downlink Channel Estimation Using Music Algorithm

3GPP LTE is the evolution of the UMTS in response to ever‐increasing demands for high quality multimedia services according to users’ expectations. Since downlink is always an important factor in coverage and capacity a...

Download PDF file
  • EP ID EP23580
  • DOI http://doi.org/10.22214/ijraset.2017.3120
  • Views 282
  • Downloads 9

How To Cite

M. Chithra Devi, S. Dhivya Bharathi (2017). Breast Cancer Detection using Support Vector Machine. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(3), -. https://europub.co.uk/articles/-A-23580