Detection of Breast Cancer in the Bio Medical Image using Supervised Machine Learning
E.Karthikeyan1, S.Venkatakrishnan2
1E.Karthikeyan*, Research Scholar, Department of CIS, Annamalai University, Chidambaram.
2Dr. S. Venkatakrishnan, Assistant Professor & Dy Co-Ordinator, Engineering Wing, DDE, Annamalai University, Chidambaram.
Manuscript received on November 17, 2019. | Revised Manuscript received on 28 November, 2019. | Manuscript published on December 10, 2019. | PP: 1140-1142 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7542129219/2019©BEIESP | DOI: 10.35940/ijitee.B7542.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: The detection of disease for diagnosis in the medical image becomes easier, when the machine learning concept is used. In this article, the Breast cancer is detected from the biomedical image using supervised machine learning technique. The bio medical image is acquired from the image sensors and that acquired image is pre processed for further processing. From that pre-processed image, the object detection is performed. The next processes are segmentation and feature extraction. Finally, the supervised learning is implemented in the image for image classification. With the help of machine learning, the different cases of cells are also detected, differentiated and spotted for the further diagnosis.
Keywords: Breast Cancer Detection, Image Classification, Image Segmentation, Supervised Machine learning
Scope of the Article: Classification