Automatic 3D liver location and segmentation via convolutional neural network and graph cut

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• 作者：Fang Lu ; Fa Wu ; Peijun Hu ; Zhiyi Peng…
• 关键词：Liver segmentation ; 3D convolution neural network ; Graph cut ; CT images
• 刊名：International Journal of Computer Assisted Radiology and Surgery
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：12
• 期：2
• 页码：171-182
• 全文大小：
• 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
• 出版者：Springer International Publishing
• ISSN：1861-6429
• 卷排序：12

文摘

PurposeSegmentation of the liver from abdominal computed tomography (CT) images is an essential step in some computer-assisted clinical interventions, such as surgery planning for living donor liver transplant, radiotherapy and volume measurement. In this work, we develop a deep learning algorithm with graph cut refinement to automatically segment the liver in CT scans.