Detection of Tumor in Ultrasound Images
T. Sathies kumar1, T. Sheela2
1T. Sathies kumar, Assistant Professor Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai-44., India.
2T. Sheela, Associate Professor Department of Electronics and Communication Engineering, V.M.K.V Engineering college, salem-44, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 13 March 2019 | Manuscript published on 30 July 2019 | PP: 5288-5290 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1063078219/19©BEIESP | DOI: 10.35940/ijrte.B1063.078219
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: Breast carcinoma is one of the most commonly occurring problem among women, which even leads to the end of the victim. Sonogram is widely used in imaging breast abnormalities. The paper is mainly concentrated in detecting lesion in breast sonogram images. The proposed scheme automatically identify the abnormalities without manual intervention. The ultrasound image is preprocessed by equalizing the histogram of the image followed by Gaussian filtering. The filtered image is then segmented using watershed technique which identifies the abnormal region both benign and malignant.
Keywords: Ultrasound, Breast Lesion, Biopsy Segmentation, Region of Interest.
Scope of the Article: Image Security