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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 |
ISSN | 1043-6618 |
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 |
DOI | 10.1016/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 | |
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 |
推荐引用方式 GB/T 7714 | 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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