High performance visualization of human tumor detection using WTMM on Parallel Computing System

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.