Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation.
Medical Image Analysis(2018)
摘要
•Image segmentation pipeline based on Fully Convolutional Networks (FCN) and ResNets is proposed.•FCN can serve as a pre-processor to normalize medical imaging input data.•A trainable FCN is an alternative to hand-designed, modality specific pre-processing steps.•Our pipeline obtains or matches state-of-the-art performance on 3 segmentation datasets.
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关键词
Image segmentation,Fully convolutionl networks,ResNets,Computed Tomography,Electron microscopy,Magnetic Resonance Imaging
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