Early Detection of Pancreatic Cancer Using 3D Wavelet Analysis

Image analysis plays a fundamental role in medical imaging. Medical imaging is very valuable in proper diagnosis of the disease. In recent times pancreatic cancer is the leading cause of death for both men and women. Pancreatic cancer does not show any symptoms or signs until the disease has progressed and it is the only major cancer with five year survival rate. So there is an urgent need of a method in diagnosis of pancreatic cancer at an early stage. In this paper a methodology is proposed for the detection of pancreatic cancer from MRI images using 3D wavelet transform analysis. Later the transform coefficient derived from the images is analyzed statistically to differentiate the normal and abnormal states of pancreatic cancer.

Pancreatic Cancer, 3D Wavelet Transform, Transform Coefficient, Statistical Analysis.

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