Achieving More with Less: Combining Strong and Weak Labels for Intracranial Hemorrhage Detection.

IF 8.1 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Radiology-Artificial Intelligence Pub Date : 2024-11-01 DOI:10.1148/ryai.240670

Tugba Akinci D'Antonoli, Jeffrey D Rudie

引用次数: 0

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事半功倍：结合强弱标签检测颅内出血。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.