Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study

Peter Q. Lee,Alessandro Guida,Steve Patterson,Thomas Trappenberg,Chris Bowen,Steven D. Beyea,Jennifer Merrimen,Cheng Wang,Sharon E. Clarke

Computerized Medical Imaging and Graphics（2019）

引用 17|浏览9

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摘要

•Recurrent fully convolutional network used to segment prostate cancer using DCE-MRI time series.•Proposed recurrent convolutional network using DCE statistically outperforms segmentation of a fully convolutional network using Ktrans.•Suggests that Tofts model loses useful information in raw DCE time series.

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关键词

Magnetic resonance imaging,Dynamic contrast enhancement,Prostate cancer,Recurrent convolutional networks

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