Automatic segmentation both in the whole prostate gland and the peripheral zone is a meaningful work, because there are different evaluation criteria for different regions according to prostate imaging reporting and data system's advice. Here we show a new method base on deep learning which can get the prostate outer contour and the peripheral zone contour fast and accurately without any manual intervention. The mean segmentation accuracies for 262 images are 94.87% ( the whole prostate gland) and 85.66% (the peripheral zone). Even in some extreme cases, such as hyperplasia and cancer, our method shows relatively good performance.
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