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Structure Correcting Adversarial Network for Chest X-Rays Organ Segmentation
Structure Correcting Adversarial Network for Chest X-Rays Organ Segmentation
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机译:用于胸部X射线器官分割的结构校正对抗网络
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摘要
Organ segmentation in chest X-rays using convolutional neural networks is disclosed. One embodiment provides a method to train a convolutional segmentation network with chest X-ray images to generate pixel-level predictions of target classes. Another embodiment will also train a critic network with an input mask, wherein the input mask is one of a segmentation network mask and a ground truth annotation, and outputting a probability that the input mask is the ground truth annotation instead of the prediction by the segmentation network, and to provide the probability output by the critic network to the segmentation network to guide the segmentation network to generate masks more consistent with learned higher-order structures.
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