Learning with Context Feedback Loop for Robust Medical Image Segmentation.

IEEE Transactions on Medical Imaging(2021)

引用 26|浏览151
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摘要
Deep learning has successfully been leveraged for medical image segmentation. It employs convolutional neural networks (CNN) to learn distinctive image features from a defined pixel-wise objective function. However, this approach can lead to less output pixel interdependence producing incomplete and unrealistic segmentation results. In this paper, we present a fully automatic deep learning method ...
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关键词
Image segmentation,Feature extraction,Biomedical imaging,Shape,Decoding,Computed tomography,Feedback loop
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