自引率: 暂无数据
被引量: 720
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投稿须知/期刊简介:
Each issue of Seminars in Vascular Surgery examines the latest thinking on a particular clinical problem and features new diagnostic and operative techniques. The journal allows practitioners to expand their capabilities and to keep pace with the most rapidly evolving areas of surgery.
期刊描述简介:
Each issue of Seminars in Vascular Surgery examines the latest thinking on a particular clinical problem and features new diagnostic and operative techniques. The journal allows practitioners to expand their capabilities and to keep pace with the most rapidly evolving areas of surgery.
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Machine learning and image analysis in vascular surgery.
Deep learning, a subset of machine learning within artificial intelligence, has been successful in medical image analysis in vascular surgery. Unlike traditional computer-based segmentation methods that manually extract features from input images, deep learning methods learn image features and classify data without making prior assumptions. Convolutional neural networks, the main type of deep learning for computer vision processing, are neural networks with multilevel architecture and weighted connections between nodes that can "auto-learn" through repeated exposure to training data without manual input or supervision. These networks have numerous applications in vascular surgery imaging analysis, particularly in disease classification, object identification, semantic segmentation, and instance segmentation. The purpose of this review article was to review the relevant concepts of machine learning image analysis and its application to the field of vascular surgery.
被引量：1 发表：1970
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Peritoneal dialysis: an increasingly popular option.
被引量：2 发表：1997
