Application of machine learning method in optical molecular imaging: a review

doi:10.1007/s11432-019-2708-1

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Application of machine learning method in optical molecular imaging: a review
	An, Yu 2; Meng, Hui 1,2; Gao, Yuan 1,2; Tong, Tong 1,2; Zhang, Chong 1,2; Wang, Kun 2; Tian, Jie 2,3
刊名	SCIENCE CHINA-INFORMATION SCIENCES
	2020
卷号	63 期号:1 页码:16
关键词	optical molecular imaging machine learning artificial intelligence
ISSN号	1674-733X
DOI	10.1007/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.
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关键词	CONVOLUTIONAL NEURAL-NETWORKS ; BIOLUMINESCENCE TOMOGRAPHY ; COHERENCE TOMOGRAPHY ; PHOTOACOUSTIC TOMOGRAPHY ; RECONSTRUCTION ALGORITHM ; LUMEN SEGMENTATION ; FLUORESCENCE ; CANCER ; QUANTIFICATION ; DIAGNOSIS
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
内容类型	期刊论文
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.