Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence

Schwyzer Moritz; Martini Katharina; Skawran StephanMesserli MichaelFrauenfelder Thomas

首页> 外文期刊>Academic radiology >Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence

【24h】

Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence

机译：Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Rationale and Objectives: There has been a significant increase of immunocompromised patients in recent years due to new treatment modalities for previously fatal diseases. This comes at the cost of an elevated risk for infectious diseases, most notably pathogens affecting the respiratory tract. Because early diagnosis and treatment of pneumonia can help reducing morbidity and mortality, we assessed the performance of a deep neural network in the detection of pulmonary infection in chest X-ray dose-equivalent computed tomography (CT).

著录项

来源
《Academic radiology》 |2021年第8期|1043-1047|共5页
作者
Schwyzer Moritz; Martini Katharina; Skawran StephanMesserli MichaelFrauenfelder Thomas;
展开▼
作者单位

Univ Hosp Zurich, Inst Diagnost & Intervent Radiol, Ramistr 100, CH-8091 Zurich, Switzerland;

Univ Zurich, Zurich, Switzerland;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类放射医学;
关键词
Artificial intelligence; Deep learning; Pneumonia; Reduced dose CT;

Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence

摘要

著录项

相关主题

期刊订阅