Bone Cancer Detection from X-Ray and MRI Images through Image Segmentation Techniques
Abhilash Shukla1, Atul Patel2
1Abhilash Shukla, Assistant Professor (Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT, Changa, India.
2Dr. Atul Patel, Dean & Principal (Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT, Changa, India.
Manuscript received on February 12, 2020. | Revised Manuscript received on February 21, 2020. | Manuscript published on March 30, 2020. | PP: 273-278 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7159038620/2020©BEIESP | DOI: 10.35940/ijrte.F7159.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Cancer, Bone Cancer, Osteosarcoma, Ewing, Image Segmentation, Edge based Segmentation, Region based Segmentation.
Scope of the Article: Healthcare Informatics