A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols

25 May 2018Neerav KaraniKrishna ChaitanyaChristian BaumgartnerEnder Konukoglu

Convolutional neural networks (CNNs) have shown promising results on several segmentation tasks in magnetic resonance (MR) images. However, the accuracy of CNNs may degrade severely when segmenting images acquired with different scanners and/or protocols as compared to the training data, thus limiting their practical utility... (read more)

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