閱讀全文 | |
篇名 |
Deep Echocardiography: A First Step toward Automatic Cardiac Disease Diagnosis Using Machine Learning
|
---|---|
並列篇名 | Deep Echocardiography: A First Step toward Automatic Cardiac Disease Diagnosis Using Machine Learning |
作者 | Zi Ye、Yogan Jaya Kumar、Goh Ong Sing、Jianming Zhang、Xianda Ni |
英文摘要 | Echocardiography, the use of ultrasound waves to investigate the action of the heart, is the primary physiological test for cardiovascular disease diagnoses. Firstly, this article discusses the common diagnostic procedures of echocardiography, meanwhile emphasizes and elaborates that view recognition is the first essential step, and then explicates issues concerning manual view identification based on two main aspects i.e. echo images’ properties and sonographers’ task difficulties. Secondly, the published articles within the past five years relating to how artificial intelligence is applied to the echocardiographic view recognition are selected, compared and summarized. It is found that compared with previous machine learning algorithm, deep learning has the ability to boost the analysis and interpretation of ultrasonic images into a new level. Finally, the challenges and limitations existed during the development of AI in health care are highlighted and discussed. |
起訖頁 | 1589-1602 |
關鍵詞 | Artificial intelligence、View recognition、Deep learning、Echocardiography、Machine learning |
刊名 | 網際網路技術學刊 |
期數 | 202011 (21:6期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
|
QR Code | |
該期刊 上一篇
| Image Sequence Facial Expression Recognition Based on Deep Residual Network |
該期刊 下一篇
| An Expected Value Prediction of Game Theory for Pre-copy over Cloud Computing |