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A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray Image

机译:在大尺寸胸部X射线图像上进行肺分割的深度学习方法

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Lung segmentation on chest X-ray image is an important task for image analysis and computer-aided diagnosis. It can improve the performance of diagnosis or lung rib suppression. Some methods have developed to address this problem. However, processing large chest X-ray image is still a challenge. This study proposes a deep learning method for lung segmentation on large size chest X-ray image. The performance was evaluated on a set of fifty large chest X-ray images. The experimental results show that the proposed method is promising.
机译:在胸部X射线图像上进行肺分割是图像分析和计算机辅助诊断的重要任务。它可以提高诊断或抑制肺肋骨的性能。已经开发出一些方法来解决这个问题。但是,处理大型胸部X射线图像仍然是一个挑战。这项研究提出了一种在大型胸部X射线图像上进行肺分割的深度学习方法。在一组五十张大型胸部X射线图像上评估了性能。实验结果表明,该方法是有前途的。

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