A Survey on Ultrasound Image Segmentation Algorithm for Detection of Female Pelvic Masses
Deeparani M1, Kalamani M2, Krishnamoorthi M3

1Deeparani M, Department of Electronics and Instrumentation Engineering, Dr. Mahalingam College of Engineering & Technology, Pollachi (Tamil Nadu), India.
2Kalamani M, Department of Electronics and Communication, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
3Krishnamoorthi M, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 10 December 2018 | Revised Manuscript received on 29 December 2018 | Manuscript Published on 09 January 2019 | PP: 23-25 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1860017519/19©BEIESP
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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: Imaging is a very precious tool for diagnostic purpose and various modalities provides an excellent way for viewing the anatomy of the organs. These various imaging modalities are used for differentiating normal and diseased anatomy. For providing support to these imaging modalities computers are used for processing and analysis. This research paper provides a review of recent image segmentation algorithms for medical images. From the recent survey, the various methods and applications of medical image segmentation are discussed. The narrative of this paper is focused on different image segmentation algorithms used for computer aided diagnosis of female pelvic masses for ultrasound.
Keywords: Female Pelvic Masses, Ultrasound Images, Segmentation Algorithms, Clustering.
Scope of the Article: Image Security