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Clinical application of AI-based PET images in oncological patients

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成果类型:
期刊论文
作者:
Dai, Jiaona;Wang, Hui;Xu, Yuchao;Chen, Xiyang;Tian, Rong
通讯作者:
Xiyang Chen<&wdkj&>Rong Tian
作者机构:
[Wang, Hui; Tian, Rong; Dai, Jiaona] Sichuan Univ, West China Hosp, Dept Nucl Med, Chengdu 610041, Peoples R China.
[Xu, Yuchao] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.
[Chen, Xiyang] Sichuan Univ, West China Hosp, Dept Gen Surg, Div Vasc Surg, Chengdu 610041, Peoples R China.
通讯机构:
[Xiyang Chen; Rong Tian] D
Department of Nuclear Medicine, West China Hospital, Sichuan University, Chengdu 610041, China<&wdkj&>Division of Vascular Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
语种:
英文
关键词:
Artificial intelligence;Neoplasms;Positron emission tomography;Radiomics;Tumor management
期刊:
Seminars in Cancer Biology
ISSN:
1044-579X
年:
2023
卷:
91
页码:
124-142
基金类别:
National Natural Science Foundation of China [81971653]; "1.3.5" Project for Disciplines of Excellence, West China Hospital, Sichuan University [ZYJC21063]
机构署名:
本校为其他机构
院系归属:
核科学技术学院
摘要:
Based on the advantages of revealing the functional status and molecular expression of tumor cells, positron emission tomography (PET) imaging has been performed in numerous types of malignant diseases for diagnosis and monitoring. However, insufficient image quality, the lack of a convincing evaluation tool and intra- and interobserver variation in human work are well-known limitations of nuclear medicine imaging and restrict its clinical application. Artificial intelligence (AI) has gained increasing interest in the field of medical imaging due to its powerful information collection and inte...

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