NONINVASIVE

作品数：290被引量：1084H指数：16
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相关领域：医药卫生更多>>
相关作者：张倩郭林青李文龙张华徐超更多>>
相关机构：宁波市第一医院复旦大学天津医科大学郑州大学更多>>
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相关基金：国家自然科学基金北京市自然科学基金中国博士后科学基金国家重点基础研究发展计划更多>>
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AgInS_(2)/ZnS quantum dots for noninvasive cervical cancer screening with intracellular pH sensing using fluorescence lifetime imaging microscopy被引量：1
《Nano Research》2022年第6期5193-5204,共12页Wenhua Su Dan Yang Yulan Wang Yawei Kong Wanlu Zhang Jing Wang Yiyan Fei Ruiqian Guo Jiong Ma Lan Mi 
supported by the National Natural Science Foundation of China(NSFC,Nos.62074044,61904036,and 11804350);the Medical Engineering Fund of Fudan University(No.yg2021-022);Zhongshan-Fudan Joint Innovation Center and Jihua Laboratory Projects of Guangdong Province(No.X190111UZ190);Fudan University-CIOMP Joint Fund(No.FC2018-001);Pioneering Project of Academy for Engineering and Technology of Fudan University(Nos.gyy2018-001 and gyy2018-002);Shanghai Natural Science Foundation(Nos.20ZR1405100 and 20ZR1403700);Science and Technology Research Program of Shanghai(No.19DZ2282100);Shanghai key discipline construction plan(2020-2022)(No.GWV-10.1-XK01);Shanghai Hong Kong,Macao,and Taiwan Cooperation Project(No.19490760900);Shanghai Engineering Technology Research Center of Hair Medicine(No.19DZ2250500).
Intracellular pH plays a critical role in biological functions,and abnormal pH values are related to various diseases.Here,we report on an intracellular pH sensor AgInS_(2)(AIS)/ZnS quantum dots(QDs)that show long flu...
关键词：AIS/ZnS quantum dots fluorescence lifetime imaging microscopy intracellular pH sensing cervical cancer screening NONINVASIVE 
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging
《Visual Computing for Industry,Biomedicine,and Art》2019年第1期164-175,共12页Ling Ma Guolan Lu Dongsheng Wang Xulei Qin Zhuo Georgia Chen Baowei Fei 
This work was supported in part by NIH grants(R01CA204254,R01HL140325,and R21CA231911).
It can be challenging to detect tumor margins during surgery for complete resection.The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptiv...
关键词：Hyperspectral imaging Deep learning Adaptive learning Noninvasive cancer detection 
Unsupervised calibration for noninvasive glucose-monitoring devices using mid-infrared spectroscopy被引量：1
《Journal of Innovative Optical Health Sciences》2018年第6期87-96,共10页Ryosuke Kasahara Saiko Kino Shunsuke Soyama Yuji Matsuura 
Noninvasive,glucose-monitoring technologies using infrared spectroscopy that have been studied typically require a calibration process that involves blood collection,which renders the methods somewhat invasive.We deve...
关键词：Noninvasive glucose monitoring CALIBRATION mid-infrared spectroscopy domain adaptation neural network 
Constrained regularization for noninvasive glucose sensing using Raman spectroscopy被引量：1
《Journal of Innovative Optical Health Sciences》2015年第4期46-53,共8页Wei-Chuan Shih 
funding from the National Science Foundation (NSF) CAREER Award (CBET1151154);the National Aeronautics and Space Administration (NASA)Early Career Faculty Grant (NNX12AQ44G);Gulf of Mexico Research Initiative (GoMRI-030);Cullen College of Engineering at the University of Houston;the MIT Laser Biomedical Research Center supported by the NIH National Center for Research Resources,Grant No.P41-RR02594.
Multivariate calibration is an important tool for spectroscopic measurermnent of analyte con-centrations.We present a detailed study of a hybrid multivariate calibration technique,con-strained regularization(CR),and d...
关键词：Gluoose NONINVASIVE multivariate calibration partial least squares principal com-ponent regression Raman spectroscopy constrained regularization 
Effect of temperature on noninvasive blood glucose monitoring in vivo using optical coherence tomography-corrigendum
《Chinese Optics Letters》2014年第12期141-141,共1页苏亚 姚晓天 孟卓 王龙志 于海民 刘铁根 
The authors would like to apologize for some mistakes in the letter on Chinese Optics Letters vol. 12, no. 11, page 111701 and wish to make the corrections described below：
关键词：Effect of temperature on noninvasive blood glucose monitoring in vivo using optical coherence tomography-corrigendum 
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