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From Conventional Deep Learning to GPT
DOI:10.1016/j.jcmg.2023.07.001.png)
摘要
En
Keyword:
ABNORMAL CARDIAC UPTAKE
ARTIFICIAL-INTELLIGENCE
HEART-FAILURE
MACHINE
PHENOTYPES
DISEASE
STRAIN
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
15.2
论文数:
4.3K
被引数:
1.7W
机构
引用论文
Machine-Learning Score Using Stress CMR for Death Prediction in Patients With Suspected or Known CAD
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT基于GPT模型的放射学革命: ChatGPT的当前应用,未来可能性和局限性
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery DiseaseSPECT可解释人工智能诊断冠心病的临床应用
A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images从超声心动图图像评估局部壁运动异常的深度学习方法

