Analysis of Discernment and Prophecy of Cancer from Digital Images with Imaging techniques

Authors

  • Siddharth Arora  Research Scholar, Glocal University, Saharanpur, Uttar Pradesh, India
  • Dr. Shiv Kumar Verma  Professor, Glocal University, Saharanpur, Uttar Pradesh, India

Keywords:

Cancer, Bone Cancer, Osteosarcoma, Ewing, Image Segmentation, Edge Based Segmentation, Region Based Segmentation

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.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-06-30

Issue

Volume 6, Issue 3, May-June-2019

Section

Research Articles

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

How to Cite

[1]
Siddharth Arora, Dr. Shiv Kumar Verma "Analysis of Discernment and Prophecy of Cancer from Digital Images with Imaging techniques " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 3, pp.450-457, May-June-2019.