Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images

David Hoar,Peter Q. Lee,Alessandro Guida,Steven Patterson,Chris V. Bowen,Jennifer Merrimen,Cheng Wang,Ricardo Rendon,Steven D. Beyea,Sharon E. Clarke

Computer Methods and Programs in Biomedicine（2021）

引用 12|浏览40

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摘要

•Test-time augmentation with transfer learning significantly improved CNN performance.•Results were statistically significant even in a small biomedical image data set.•ADC was found to be the most important MRI contrast, followed by Ktrans and T2w.

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关键词

Convolutional neural network,Prostate cancer,Segmentation,MRI,Computer aided diagnosis,Machine learning

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