| abstract |
The present invention relates to a method for identifying and classifying prostate lesions in multi-parametric magnetic resonance images, which includes a module for zonal segmentation of the prostate, a module for identifying suspected prostate lesion areas, and a module for classifying lesions, which uses T2-weighted image sequences, ADC maps and diffusion-weighted images (DWI) from the multi-parametric magnetic resonance imaging to provide a probability of clinically significant suspected cancerous areas. |