Abstract
In the effort to reduce the number of cancer survivor, various technique have been conducted. The major problem is the cancer cannot be detected in the early stage. Majority patients have been diagnosed the cancer at the final level. If the problem can be solved, death because of the cancer can be reduced. Therefore, edge detection of tumor can help radiologist to diagnose the disease at an early stage. This paper focused on the implementation of parallel algorithm for the human tumor edge detection. The objectives of this study is to detect the edge of breast and brain tumor in Mammogram and MRI medical imaging respectively. Edge of the tumors is detected by using Wavelet Transform Modulus Maxima on Parallel Computing System that is used as a platform to compute the parallel algorithm for the edge detection of the tumors. Performance of parallel computer in terms of time processing, speedup and efficiency is reported.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
