基于边界框注释的RSNA肺栓塞CT数据集增强及肺栓塞的解剖定位。

IF 8.1 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Radiology-Artificial Intelligence Pub Date : 2023-05-01 DOI:10.1148/ryai.230001

Matias F Callejas, Hui Ming Lin, Thomas Howard, Matthew Aitken, Marc Napoleone, Laura Jimenez-Juan, Robert Moreland, Shobhit Mathur, Djeven P Deva, Errol Colak

引用次数: 1

摘要

本文有补充材料。关键词:CT，肺动脉，栓塞/血栓，特征检测©RSNA, 2023。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Augmentation of the RSNA Pulmonary Embolism CT Dataset with Bounding Box Annotations and Anatomic Localization of Pulmonary Emboli.

Supplemental material is available for this article. Keywords: CT, Pulmonary Arteries, Embolism/Thrombosis, Feature Detection © RSNA, 2023.

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来源期刊

Radiology-Artificial Intelligence

CiteScore

16.20

自引率

1.00%

发文量

期刊介绍： Radiology: Artificial Intelligence is a bi-monthly publication that focuses on the emerging applications of machine learning and artificial intelligence in the field of imaging across various disciplines. This journal is available online and accepts multiple manuscript types, including Original Research, Technical Developments, Data Resources, Review articles, Editorials, Letters to the Editor and Replies, Special Reports, and AI in Brief.