Learning with Context Feedback Loop for Robust Medical Image Segmentation.
IEEE Transactions on Medical Imaging(2021)
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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