Bone Cancer Detection from X-Ray and MRI Images through Image Segmentation Techniques

  • Shukla A
  • et al.
N/ACitations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper is based on integration of the biomedical field and computer science. Paper contains the study of bone cancer and features to predict the type of the same. Related work to find cancer in human body using computer vision is discussed in this paper. Image segmentation technique like sobel, prewitt, canny, K-means and Region Growing are described in this paper which can be stimulated for X-Ray and MRI image interpretation. Paper also shows the result of edge based and region based image segmentation techniques applied on X-Ray image to detect osteosarcoma cancer present on bone using MATLAB. Finally, paper concluded by finding best suited segmentation method for grey scaled image with future aspects.

Cite

CITATION STYLE

APA

Shukla, A., & Patel, Dr. A. (2020). Bone Cancer Detection from X-Ray and MRI Images through Image Segmentation Techniques. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 273–278. https://doi.org/10.35940/ijrte.f7159.038620

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free