中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Application of machine learning method in optical molecular imaging: a review

文献类型:期刊论文

作者An, Yu2; Meng, Hui1,2; Gao, Yuan1,2; Tong, Tong1,2; Zhang, Chong1,2; Wang, Kun2; Tian, Jie2,3
刊名SCIENCE CHINA-INFORMATION SCIENCES
出版日期2020
卷号63期号:1页码:16
ISSN号1674-733X
关键词optical molecular imaging machine learning artificial intelligence
DOI10.1007/s11432-019-2708-1
通讯作者Tian, Jie(tian@ieee.org)
英文摘要Optical molecular imaging (OMI) is an imaging technology that uses an optical signal, such as near-infrared light, to detect biological tissue in organisms. Because of its specific and sensitive imaging performance, it is applied in both preclinical research and clinical surgery. However, it requires heavy data analysis and a complex mathematical model of tomographic imaging. In recent years, machine learning (ML)-based artificial intelligence has been used in different fields because of its ability to perform powerful data processing. Its analytical capability for processing complex and large data provides a feasible scheme for the requirement of OMI. In this paper, we review ML-based methods applied in different OMI modalities.
WOS关键词CONVOLUTIONAL NEURAL-NETWORKS ; BIOLUMINESCENCE TOMOGRAPHY ; COHERENCE TOMOGRAPHY ; PHOTOACOUSTIC TOMOGRAPHY ; RECONSTRUCTION ALGORITHM ; LUMEN SEGMENTATION ; FLUORESCENCE ; CANCER ; QUANTIFICATION ; DIAGNOSIS
资助项目Ministry of Science and Technology of China[2018YFC0910602] ; Ministry of Science and Technology of China[2017YFA0205200] ; Ministry of Science and Technology of China[2017YFA0700401] ; Ministry of Science and Technology of China[2016YFA0100902] ; Ministry of Science and Technology of China[2016YFC0103702] ; National Natural Science Foundation of China[61901472] ; National Natural Science Foundation of China[61671449] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB32030200] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB01030200] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[YJKYYQ20180048] ; Chinese Academy of Sciences[KFJ-STS-ZDTP-059] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Beijing Municipal Science & Technology Commission[Z161100002616022] ; Beijing Municipal Science & Technology Commission[Z171100000117023] ; General Financial Grant from the China Postdoctoral Science Foundation[2017M620952]
WOS研究方向Computer Science ; Engineering
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000513494600001
资助机构Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chinese Academy of Sciences ; Beijing Municipal Science & Technology Commission ; General Financial Grant from the China Postdoctoral Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/28598]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Tian, Jie
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Beijing Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, CAS Key Lab Mol Imaging,Inst Automat, Beijing 100190, Peoples R China
3.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
An, Yu,Meng, Hui,Gao, Yuan,et al. Application of machine learning method in optical molecular imaging: a review[J]. SCIENCE CHINA-INFORMATION SCIENCES,2020,63(1):16.
APA An, Yu.,Meng, Hui.,Gao, Yuan.,Tong, Tong.,Zhang, Chong.,...&Tian, Jie.(2020).Application of machine learning method in optical molecular imaging: a review.SCIENCE CHINA-INFORMATION SCIENCES,63(1),16.
MLA An, Yu,et al."Application of machine learning method in optical molecular imaging: a review".SCIENCE CHINA-INFORMATION SCIENCES 63.1(2020):16.

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来源:自动化研究所

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