Abstract
Automatic boundary detection is a challenging and one of the important issues in medical imaging. Contouring breast tumor lesions automatically may avail physicians for correct and faster diseases diagnoses. The ultrasound images are noisy, and boundary detection is a challenging task due to low contrast. The aim of this study is to implement the watershed algorithm in breast cancer ultrasound images to extract precise contours of the tumors. In this process, preprocessing filter reduces the noise by preserving the edges of the tumor lesion. Background and foreground area is calculated based on the threshold. A connected component graph is used to calculate region of interest based on the difference between background and foreground area. Finally, the watershed algorithm is applied to determine the contours of the tumor. In diagnosis applications, automatic lesion segmentation can save the time of a radiologist.
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Acknowledgements
We are thankful to Dr. Bhagyashri, J. N. N Medical College for sharing the data. We are also thankful to Ethical Committee (Dr. Bikesh Singh, Prof. Dept. of Biomedical, Dr. P.K. Patra, Prof., Dept. of Biochemistry, Pt. JNMMC, Raipur, Dr. Lata S.B. Upadhyay, Member, Dr. R. Periyasamy, Member, Dr. Sanjeeve Pandey, Member, Dr. Sameer Sonkar, Member, Mr. H.R. Dwivedi, Member, Mr. Sanket Thakur, Member, Mr. Mahesh Dhandole, Member, Mr. Manoje K. Nirala, Member, Dr. Awanish Kumar, Member) National Institute of Technology Raipur for providing us ethical permission.
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Bafna, Y., Verma, K., Panigrahi, L., Sahu, S.P. (2018). Automated Boundary Detection of Breast Cancer in Ultrasound Images Using Watershed Algorithm. In: Perez, G., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 696. Springer, Singapore. https://doi.org/10.1007/978-981-10-7386-1_61
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DOI: https://doi.org/10.1007/978-981-10-7386-1_61
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