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Magnetic resonance imaging (MRI) provides reliable image information for cancer lesion screening before prostate biopsy is performed by radiologists. This study attempts to apply an algorithm for prostate based on artificial neural networks (ANN-PT) to T2 weighted image (T2WI) as well as diffusion weighted image (DWI) and convex analysis of mixture with compartmental model (CAM-CM) to dynamic contrast-enhanced...
The study evaluated a method of computer-assisted diagnosis (CAD) by introducing information fusion into the clinical diagnosis of prostate cancer. Based on the multi-parameter magnetic resonance imaging (MRI) including T2-weighed, diffusion-weighed, and dynamic contrast enhanced MRI, image fusion was applied on the pixel and decision levels, respectively. Results showed that fusion on the decision...
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