期刊
EXPERT REVIEW OF MEDICAL DEVICES
卷 16, 期 10, 页码 877-889出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/17434440.2019.1669447
关键词
Digestive system cancer; artificial intelligence; medical imaging detection; deep learning; computer assist surgery
资金
- National Key R&D Program of China [2017YFB1104100, 2017YFB1302903]
- National Natural Science Foundation of China [81971709, 81828003]
- Foundation of Ministry of Education of China Science and Technology Development Center [2018C01038]
- Foundation of Science and Technology Commission of Shanghai Municipality [19510712200, 16441908400]
- Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research [YG2016ZD01, ZH20182DA15]
Introduction: At present, cancer imaging examination relies mainly on manual reading of doctors, which requests a high standard of doctors? professional skills, clinical experience, and concentration. However, the increasing amount of medical imaging data has brought more and more challenges to radiologists. The detection of digestive system cancer (DSC) based on artificial intelligence (AI) can provide a solution for automatic analysis of medical images and assist doctors to achieve high-precision intelligent diagnosis of cancers. Areas covered: The main goal of this paper is to introduce the main research methods of the AI based detection of DSC, and provide relevant reference for researchers. Meantime, it summarizes the main problems existing in these methods, and provides better guidance for future research. Expert commentary: The automatic classification, recognition, and segmentation of DSC can be better realized through the methods of machine learning and deep learning, which minimize the internal information of images that are difficult for humans to discover. In the diagnosis of DSC, the use of AI to assist imaging surgeons can achieve cancer detection rapidly and effectively and save doctors? diagnosis time. These can lay the foundation for better clinical diagnosis, treatment planning and accurate quantitative evaluation of DSC.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据