An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms
Xie, Qiwei1; Liu, Yanfei2,3; Huang, Hui4; Hong, Bei5; Wang, Jinxin4; Han, Hua6,7; Liu, Yue2
发表期刊PHARMACOLOGICAL RESEARCH
ISSN1043-6618
2020-09-01
卷号159页码:9
通讯作者Han, Hua(hua.han@ia.ac.cn) ; Liu, Yue(liuyueheart@hotmail.com)
摘要Current methods of evaluating the degree of diabetic retinopathy are highly subjective and have no quantitative standard. To objectively evaluate the slight changes in tissue structure during the early stage of retinal diseases, a subjective interpretation and qualitative analysis of the pathological sections of retinal HE in diabetic animals is required for screening and evaluating the degree of diabetic retinopathy and drug efficacy. To develop an innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms. Based on the change law of the early nerve fiber layer and the ganglion cells, we get disparate characteristics of the microscopic image of diabetes animal retina HE slices. Using image recognition and deep learning methods on these HE slices, we can identify the changes in the ganglion cells and nerve fiber layer for diagnosing early retinopathy and evaluated the therapeutic effect of the potential drugs. We conduct quantitative calculation per unit length of the nerve fiber layer and total area of the nerve fiber layer to identify biology significance of edema. Additionally, we also perform quantitative calculation with the number of unit area ganglion cells to identify the section in biology cell hyperplasia. Finally, we get the significance of quantitative calculation on the unit cell area to identify ganglion cell shriveling in biology. In addition to the evaluation of the disease degree and changes, we also obtained retinal HE sections after different drug interventions and evaluated the therapeutic effect of the drugs. This study presents a novel quantitative method for screening and evaluating of diabetic retinopathy and drug efficacy.
关键词Diabetic retinopathy Artificial intelligence Method Hematoxylin-eosin Chinese medicine
DOI10.1016/j.phrs.2020.104986
关键词[WOS]NERVE-FIBER LAYER ; DISEASE
收录类别SCI
语种英语
资助项目Special Project for Outstanding Young Talents of China Academy of Chinese Medical Sciences[ZZ13-YQ-001] ; Beijing NOVA Program[Z171100001117027] ; National Natural Science Foundation of China[61673381] ; Special Program of Beijing Municipal Science & Technology Commission[Z181100003818001] ; Special Program of Beijing Municipal Science & Technology Commission[Z181100000118002] ; Strategic Priority Research Program, CAS[XDB32030200] ; Bureau of International Cooperation, CAS[153D31KYSB20170059]
项目资助者Special Project for Outstanding Young Talents of China Academy of Chinese Medical Sciences ; Beijing NOVA Program ; National Natural Science Foundation of China ; Special Program of Beijing Municipal Science & Technology Commission ; Strategic Priority Research Program, CAS ; Bureau of International Cooperation, CAS
WOS研究方向Pharmacology & Pharmacy
WOS类目Pharmacology & Pharmacy
WOS记录号WOS:000566435200004
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
七大方向——子方向分类人工智能+医疗
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/41537
专题脑图谱与类脑智能实验室_微观重建与智能分析
通讯作者Han, Hua; Liu, Yue
作者单位1.Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
2.China Acad Chinese Med Sci, Cardiovasc Dis Ctr, Xiyuan Hosp, Beijing 100091, Peoples R China
3.Beijing Univ Chinese Med, Grad Sch, Beijing 100029, Peoples R China
4.Beijing Duan Dian Pharmaceut Res & Dev Co Ltd, Beijing, Peoples R China
5.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
7.Univ Chinese Acad Sci, Sch Future Technol, Beijing, Peoples R China
通讯作者单位模式识别国家重点实验室
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Xie, Qiwei,Liu, Yanfei,Huang, Hui,et al. An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms[J]. PHARMACOLOGICAL RESEARCH,2020,159:9.
APA Xie, Qiwei.,Liu, Yanfei.,Huang, Hui.,Hong, Bei.,Wang, Jinxin.,...&Liu, Yue.(2020).An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms.PHARMACOLOGICAL RESEARCH,159,9.
MLA Xie, Qiwei,et al."An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms".PHARMACOLOGICAL RESEARCH 159(2020):9.
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