参考文献/References:
［1］ STAPLETON F,ALVES M,BUNYA V Y,JALBERT I,LEKHANONT K,MALET F,et al.TFOS DEWS II epidemiology report［J］.Ocul Surf,2017,15(3):334-365.
［2］ GEERLING G,TAUBER J,BAUDOUIN C,GOTO E,MATSUMOTO Y,O’BRIEN T,et al.The international workshop on meibomian gland dysfunction:report of the subcommittee on management and treatment of meibomian gland dysfunction［J］.Invest Ophthalmol Vis Sci,2011,52(4):2050-2064.
［3］ MATOSSIAN C,MCDONALD M,DONALDSON K E,NICHOLS K K,MACIVER S,GUPTA P K.Dry eye disease:consideration for women’s health［J］.J Wom Health(Larchmt),2019,28(4):502-514.
［4］ NICHOLS J J,ZIEGLER C,MITCHELL G L,NICHOLS K K.Self-reported dry eye disease across refractive modalities［J］.Invest Ophthalmol Vis Sci,2005,46(6):1911-1914.
［5］ ZHANG X,ZHAO L,DENG S,SUN X,WANG N.Dry eye syndrome in patients with diabetes mellitus:prevalence,etiology,and clinical characteristics［J］.J Ophthalmol,2016,2016:8201053.
［6］ MANDELL J T,IDARRAGA M,KUMAR N,GALOR A.Impact of air pollution and weather on dry eye［J］.J Clin Med,2020，9(11):3740.
［7］ MCCARTHY J,MINSKY M L,ROCHESTER N,SHANNON C E.A proposal for the dartmouth summer research project on artificial intelligence［J］.AI Mag,2006,27(4):12-14.
［8］ SAMUEL A L.Some studies in machine learning using the game of checkers［J］. IBM J Res Devel,2000,44(1/2):206-226.
［9］ LECUN" Y,BENGIO Y,HINTON G.Deep learning［J］.Nature,2015,521(7553):436-444.
［10］ LEE C S,TYRING A J,DERUYTER N P,WU Y,ROKEM A,LEE A Y.Deep-learning based,automated segmentation of macular edema in optical coherence tomography［J］.Biomed Opt Express,2017,8(7):3440-3448.
［11］ ABRMOFF M D,LOU Y,ERGINAY A,CLARIDA W,AMELON R,FOLK JAMES C,et al.Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning［J］.Invest Ophthalmol Vis Sci,2016,57(13):5200-5206.
［12］ GULSHAN V,PENG L,CORAM M,STUMPE M C,WU C,NARAYANASWAMY A,et al.Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs［J］.JAMA,2016,316(22):2402-2410.
［13］ NIELSEN K B,LAUTRUP M L,ANDERSEN J K,SAVARIMUTHU T R,GRAUSLUND J.Deep learning-based algorithms in screening of diabetic retinopathy:a systematic review of diagnostic performance［J］.Ophthalmol Retina,2019,3(4):294-304.
［14］ PEAD E,MEGAW R,CAMERON J,FLEMING A,DHILLON B,TRUCCO E, et al.Automated detection of age-related macular degeneration in color fundus photography:a systematic review［J］.Surv Ophthalmol,2019,64(4):498-511.
［15］ GENSURE R H,CHIANG M F,CAMPBELL J P.Artificial intelligence for retinopathy of prematurity［J］.Curr Opin Ophthalmol,2020,31(5):312-317.
［16］ WILLCOX M D,ARGESO P,GEORGIEV G A,HOLOPAINEN J M,LAURIE G W,MILLAR T J,et al.TFOS DEWS II tear film report［J］.Ocul Surf,2017,15(3):366-403.
［17］ YEDIDYA T,HARTLEY R,GUILLON J P,KANAGASINGAM Y.Automatic dry eye detection［M］.In:International conference on medical image computing and computer-assisted intervention.Berlin:Springer,2007:792-799.
［18］ RAMOS L,BARREIRA N,PENA-VERDEAL H,GIRALDEZ M.Automatic assessment of tear film break-up dynamics［J］.Stud Health Technol Inform,2014,207:173-182.
［19］ RAMOS L,BARREIRA N,MOSQUERA A,PENEDO M,YEBRA-PIMENTEL E,GARCA-RES U ＇ A C.Analysis of parameters for the automatic computation of the tear film break-up time test based on CCLRU standards［J］.Comput Methods Programs Biomed,2014,113(3):715-724.
［20］ YEDIDYA T,CARR P,HARTLEY R,GUILLON J P.Enforcing monotonic temporal evolution in dry eye images［M］.In:International conference on medical image computing and computer-assisted intervention.Berlin:Springer,2009:976-984.
［21］ GULLION J P C.Tear film structure of the contact lens wearer［D］.London:City University of London,1990.
［22］ GARCA-RES U ＇ A C,FERNANDEZ M J G,PENEDO M F G,CALVO D,PENAS M,YEBRAPIMENTEL E.New software application for clarifying tear film lipid layer patterns［J］.Cornea,2013,32(4):538-546.
［23］ REMESEIRO B,BARREIRA N,GARCA-RES U ＇ A C,LIRA M,GIRALDEZ M J,YEBRA-PIMENTEL E,et al.Ideas:a web-based system for dry eye assessment［J］.Comput Methods Programs Biomed,2016,130:186-197.
［24］ REMESEIRO B,MOSQUERA A,PENEDO M G.CASDES:a computer-AI DE system to support dry eye diagnosis based on tear film maps［J］.IEE J Biomed Health Inform,2016,20(3):936-943.
［25］ REMESEIRO B,BOLON-CANEDO V,PETEIRO-BARRAL D,ALONSO-BETANZOS A,GUIJARROBERDINAS B,MOSQUERA A,et al.A methodology for improving tear film lipid layer classification［J］.IEE J Biomed Health Inform,2014,18(4):1485-1493.
［26］ PETEIRO-BARRAL D,REMESEIRO B,MNDEZ R,PENEDO M G.Evaluation of an automatic dry eye test using MCDM methods and rank correlation［J］.Med Biol Eng Comput,2017,55(4):527-536.
［27］ DA CRUZ L B,SOUZA J C,DE SOUSA J A,SANTOS A M,DE PAIVA A C,DE ALMEIDA J D S,et al.Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis［J］.Comput Methods Programs Biomed,2020,188:105269.
［28］ DA CRUZ L B,SOUZA J C,DE PAIVA A C,DE ALMEIDA J D S,JUNIOR G B,AIRES K R T,et al.Tear film classification in interferometry eye images using phylogenetic diversity indexes and Ripley’s K function［J］.IEE J Biomed Health Inf,2020,24(12):3491-3498.
［29］ HWANG H,JEON H J,YOW K C,HWANG H S,CHUNG E.Image-based quantitative analysis of tear film lipid layer thickness for meibomian gland evaluation［J］.Biomed Eng Online,2017,16(1):135.
［30］ FU P I,FANG P C,HO R W,CHAO T L,CHO W H,LAI H Y,et al.Determination of tear lipid film thickness based on a reflected placido disk tear film analyzer［J］.Diagnostics(Basel),2020,10(6):353.
［31］ SZYPERSKI P D.Comparative study on fractal analysis of interferometry images with application to tear film surface quality assessment［J］.Appl Opt,2018,57(16):4491-4498.
［32］ YABUSAKI K,ARITA R,YAMAUCHI T.Automated classification of dry eye type analyzing interference fringe color images of tear film using machine learning techniques［J］.Model Artif Intell Ophthalmol,2019,2(3):28-35.
［33］ RODRIGUEZ J D,JOHNSTON P R,OUSLER G W,SMITH L M,ABELSON M B.Automated grading system for evaluation of ocular redness associated with dry eye［J］.Clin Ophthalmol,2013,7:1197-1204.
［34］ HOLLY F J.Physical chemistry of the normal and disordered tear film［J］.Trans Ophthalmol Soc UK,1985,104(Pt 4):374-380.
［35］ DENG X,TIAN L,LIU Z,ZHOU Y,JIE Y.A deep learning approach for the quantification of lower tear meniscus height［J］.Biomed Signal Process Control,2021,68:102655.
［36］ CARTES C,LPEZ D,SALINAS D,SEGOVIA C,AHUMADA C,PREZ N,et al.Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach［J］.Arch Soc Esp Oftalmol(Engl Ed),2019,94(7):337-342.
［37］ YANG J,ZHU X,LIU Y,JIANG X,FU J,REN X,et al.TMIS:a new image-based software application for the measurement of tear meniscus height［J］.Acta Ophthalmol,2019,97(7):e973-e980.
［38］ BAUDOUIN C,MESSMER E M,ARAGONA P,GEERLING G,AKOVA Y A,BENTZ-DEL-CASTILLO,et al.Revisiting the vicious circle of dry eye disease:a focus on the pathophysiology of meibomian gland dysfunction［J］.Br J Ophthalmol,2016,100(3):300-306.
［39］ KHAN Z K,UMAR A I,SHIRAZI S H,RASHEED A,QADIR A,GUL S.Image based analysis of meibomian gland dysfunction using conditional generative adversarial neural network［J］.BMJ Open Ophthalmol,2021,6(1):e000436.
［40］ YU Y,ZHOU Y,TIAN M,TAN Y J,WU L L,ZHENG H M,et al.Automatic identification of meibomian gland dysfunction with meibography images using deep learning［J］.Int Ophthalmol,2022,42(11):3275-3284.
［41］ KANELLOPOULOS A J,ASIMELLIS G.In vivo 3-dimensional corneal epithelial thickness mapping as an indicator of dry eye:preliminary clinical assessment［J］.Am J Ophthalmol,2014,157(1):63-68.
［42］ FUJIMOTO K,INOMATA T,OKUMURA Y,IWATA N,FUJIO K,EGUCHI A,et al.Comparison of corneal thickness in patients with dry eye disease using the Pentacam rotating scheimpflug camera and anterior segment optical coherence tomography［J］.PLoS One,2020,15(2):e0228567.
［43］ ELSAWY A,ELEIWA T,CHASE C,OZCAN E,TOLBA M,FEUER W,et al.Multidisease deep learning neural network for the diagnosis of corneal diseases［J］.Am J Ophthalmol,2021,226:252-261.
［44］ KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Imagenet classification with deep convolutional neural net-works［J］.Commun ACM,2017,60(6):84-90.
［45］ STEGMANN H,WERKMEISTER R M,PFISTER M,GARHFER G,SCHMETTERER L,DOS SANTOS V A.Deep learning segmentation for optical coherence tomography measurements of the lower tear meniscus［J］.Biomed Opt Express,2020,11(3):1539-1554.
［46］ GRUS F,AUGUSTIN A,EVANGELOU N,TOTH-SAGI K.Analysis of tear-protein patterns as a diagnostic tool for the detection of dry eyes［J］.Eur J Ophthalmol,1998,8(2):90-97.
［47］ GRUS F H,AUGUSTIN A J.Analysis of tear protein patterns by a neural network as a diagnostical tool for the detection of dry eyes［J］.Electrophoresis,1999,20 (4/5):875-880.
［48］ GRUS F H,PODUST V N,BRUNS K,LACKNER K,FU S,DALMASSO E A,et al.SELDI-TOF-MS proteinchip array profiling of tears from patients with dry eye［J］.Invest Ophthalmol Vis Sci,2005,46(3):863-876.
［49］ GONZLEZ N,ILORO I,SORIA J,DURAN J A,SANTAMARA A,ELORTZA F,et al.Human tear peptide/protein profiling study of ocular surface diseases by SPE-MALDI-TOF mass spectrometry analyses［J］.EuPA Open Proteomics,2014,3:206-215.
［50］ JUNG J H,JI Y W,HWANG H S,OH J W,KIM H C,LEE H K,et al.Proteomic analysis of human lacrimal and tear fluid in dry eye disease［J］.Sci Rep,2017,7(1):13363.
［51］ RODRIGUEZ J D,LANE K J,OUSLER G W,ANGJELI E,SMITH L M.Blink:characteristics,controls,and relation to dry eyes［J］.Curr Eye Res,2017,43(1):52-66.
［52］ JIE Y,SELLA R,FENG J,GOMEZ M L,AFSHARI N A.Evaluation of incomplete blinking as a measurement of dry eye disease［J］.Ocul Surf,2019,17(3):440-446.
［53］ COLLINS M J,ISKANDER D R,SAUNDERS A,HOOK S,ANTHONY E,GILLON R.Blinking patterns and corneal staining［J］.Eye Contact Lens,2006,32(6):287-293.
［54］ NAVASCUES-CORNAGO M,MORGAN P B,MALDONADO-CODINA C,READ M L.Characterisation of blink dynamics using a high-speed infrared imaging system［J］.Ophthalmic Physiol Opt,2020,40(4):519-528.
［55］ DRUTAROVSKY T,FOGELTON A.Eye blink detection using variance of motion vectors［J］.Lect Not Comp Sci,2015,8927:436-448.
［56］ CHOI I,HAN S,KIM D.Eye detection and eye blink detection using adaBoost learning and grouping［C］.Lahaina:International Conference on Computer communication Networks,2011.
［57］ ZHENG Q,ZHANG X,ZHANG J,BAI F,HUANG S,PU J,et al.A texture-aware U-Net for identifying incomplete blinking from eye videography［J］.Biomed Signal Process Control,2022,75:1037630
［58］ ZHENG Q,WANG L,WEN H,REN Y,HUANG S,BAI F,et al.Impact of incomplete blinking analyzed using a deep learning model with the keratograph 5M in dry eye disease［J］.Transl Vis Sci Technol,2022,11(3):38.
［59］ CRUZAT A,QAZI Y,HAMRAH P.In vivo confocal microscopy of corneal nerves in health and disease［J］.Ocul Surf,2017,15(1):15-47.
［60］ LABETOULLE M,BAUDOUIN C,CALONGE M,MERAYO-LLOVES J,BOBORIDIS K G,AKOVA Y A,et al.Role of corneal nerves in ocular surface homeostasis and disease［J］.Acta Ophthalmol,2019,97(2):137-145.
［61］ JING D,LIU Y,CHOU Y,JIANG X,REN X,YANG L,et al.Change patterns in the corneal sub-basal nerve and corneal aberrations in patients with dry eye disease:an artificial intelligence analysis［J］.Exp Eye Res,2022,215:108851.
［62］ SETU M A K,SCHMIDT S,MUSIAL G,STERN M E,STEVEN P.Segmentation and evaluation of corneal nerves and dendritic cells from in vivo confocal microscopy images using deep learning［J］.Transl Vis Sci Technol,2022,11(6):24.
［63］ 孙铁,张雨晴,邵毅.人工智能及其在眼科疾病诊疗中的应用［J］.眼科新进展,2020,40(8):793-796,800.
SUN T,ZHANG Y Q,SHAO Y.The application of artificial intelligence on ophthalmic diseases［J］.Rec Adv ophthalmol,2020,40(8):793-796,800.
［64］ 黎彪,丁雅珺,邵毅.人工智能在小儿眼科领域的应用研究进展［J］.国际眼科杂志,2020,20(8):1363-1366.
LI B,DING Y J,SHAO Y.Research progress on application of artificial intelligence in pediatric ophthalmology［J］.Int Eye Sci,2020,20(8):1363-1366.
相似文献/References:
[1]赵金凤,吴桢泉,郑磊,等.人工智能在眼科疾病诊疗的应用现状[J].眼科新进展,2019,39(5):495.[doi:10.13389/j.cnki.rao.2019.0114]
ZHAO Jin-Feng,WU Zhen-Quan,ZHENG Lei,et al.Application of artificial intelligence in the diagnosis and treatment of ocular diseases[J].Recent Advances in Ophthalmology,2019,39(4):495.[doi:10.13389/j.cnki.rao.2019.0114]
[2]许冬,李浩,周利晓,等.基于卷积神经网络UNet构建糖尿病性黄斑水肿自动识别模型[J].眼科新进展,2020,40(4):357.[doi:10.13389/j.cnki.rao.2020.0082]
XU Dong,LI Hao,ZHOU Lixiao,et al.Model of automatic identification of diabetic macular edema via convolutional neural networks UNet[J].Recent Advances in Ophthalmology,2020,40(4):357.[doi:10.13389/j.cnki.rao.2020.0082]
[3]孙铁,张雨晴,邵毅.人工智能及其在眼科疾病诊疗中的应用[J].眼科新进展,2020,40(8):793.[doi:10.13389/j.cnki.rao.2020.0181]
SUN Tie,ZHANG Yuqing,SHAO Yi.The application of artificial intelligence on ophthalmic diseases[J].Recent Advances in Ophthalmology,2020,40(4):793.[doi:10.13389/j.cnki.rao.2020.0181]
[4]郑武,阮坤炜,吴天添,等.人工智能糖尿病视网膜病变筛查系统与眼科医师诊断结果的一致性分析[J].眼科新进展,2020,40(12):1170.[doi:10.13389/j.cnki.rao.2020.0260]
ZHENG Wu,RUAN Kunwei,WU Tiantian,et al.Consistency of artificial intelligence screening system with ophthalmologist for diagnosing of diabetic retinopathy[J].Recent Advances in Ophthalmology,2020,40(4):1170.[doi:10.13389/j.cnki.rao.2020.0260]
[5]姜百慧,项开来,秦秀虹,等.深度学习在视网膜疾病中的应用[J].眼科新进展,2021,41(7):688.[doi:10.13389/j.cnki.rao.2021.0143]
JIANG Baihui,XIANG Kailai,QIN Xiuhong,et al.Progress in the application of deep learning in retinal diseases[J].Recent Advances in Ophthalmology,2021,41(4):688.[doi:10.13389/j.cnki.rao.2021.0143]
[6]《人工智能在神经眼科疾病诊断中的应用指南（0）》专家组,中国医药教育协会眼科影像与智能医疗分会,国际转化医学会眼科专业委员会,等.人工智能在神经眼科疾病诊断中的应用指南（2023）[J].眼科新进展,2023,43(12):925.[doi:10.13389/j.cnki.rao.2023.0185]
Expert Workgroup of Guidelines for Application of Artificial Intelligence in the diagnosis of neuro-ophthalmic diseases (0),Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association,Ophthalmology Committee of International Association of Translational Medicine,et al.Guidelines for the application of artificial intelligence in the diagnosis of neuro-ophthalmic diseases[J].Recent Advances in Ophthalmology,2023,43(4):925.[doi:10.13389/j.cnki.rao.2023.0185]
[7]陈铭海,白芳,陶海.多模态数据融合技术及其在眼科领域的应用研究进展[J].眼科新进展,2024,44(3):248.[doi:10.13389/j.cnki.rao.2024.0049]
CHEN Minghai,BAI Fang,TAO Hai.Multimodal data fusion and research progress of its application in ophthalmology[J].Recent Advances in Ophthalmology,2024,44(4):248.[doi:10.13389/j.cnki.rao.2024.0049]
[8]《人工智能在OCTA图像分析和眼部疾病诊断中的应用指南（0）》专家组,国际转化医学会眼科专业委员会,中国医药教育协会眼科影像与智能医疗分会.人工智能在OCTA图像分析和眼部疾病诊断中的应用指南(2024)[J].眼科新进展,2024,44(5):337.[doi:10.13389/j.cnki.rao.2024.0066]
Expert Workgroup of Guidelines for Application of Artificial Intelligence in OCTA Image Analysis and Ocular Disease Diagnosis (0),Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association,Ophthalmology Committee of International Association of Translational Medicine.Guidelines for the application of artificial intelligence in optical coherence tomography angiography image analysis and ocular disease diagnosis (2024)[J].Recent Advances in Ophthalmology,2024,44(4):337.[doi:10.13389/j.cnki.rao.2024.0066]
[9]余燕,侯银芬,吴昌凡,等.人工智能深度学习技术在常见眼病辅助诊断的应用现状和进展[J].眼科新进展,2020,40(4):396.[doi:10.13389/j.cnki.rao.2020.0092]
YU Yan,HOU Yinfen,WU Changfan,et al.Application and progress of artificial intelligence deep learning technology in diagnosis of common eye diseases[J].Recent Advances in Ophthalmology,2020,40(4):396.[doi:10.13389/j.cnki.rao.2020.0092]
[10]杨丽丹,李青蒨,陈倩茵,等.人工智能在青光眼诊断中的研究进展[J].眼科新进展,2023,43(6):500.[doi:10.13389/j.cnki.rao.2023.0102]
YANG Lidan,LI Qingqian,CHEN Qianyin,et al.Research progress of artificial intelligence in the diagnosis of glaucoma[J].Recent Advances in Ophthalmology,2023,43(4):500.[doi:10.13389/j.cnki.rao.2023.0102]
[11]《人工智能辅助诊断早产儿视网膜病变应用指南（0）》专家组,中国医药教育协会眼科影像与智能医疗分会,国际转化医学会眼科专委会,等.人工智能辅助诊断早产儿视网膜病变应用指南（2023）[J].眼科新进展,2023,43(9):673.[doi:10.13389/j.cnki.rao.2023.0136]
Expert Workgroup of Guidelines for the Application of Artificial Intelligence in Retinopathy of Premature Infants0,Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association,Ophthalmology Committee of International Association of Translational Medicine,et al.Guidelines for the application of artificial intelligence in the auxiliary diagnosis of retinopathy of prematurity (2023)[J].Recent Advances in Ophthalmology,2023,43(4):673.[doi:10.13389/j.cnki.rao.2023.0136]
[12]《人工智能在甲状腺相关性眼病中的应用指南（0）》专家组,中国医药教育协会眼科影像与智能医疗分会,中国医师协会眼科分会眼肿瘤专委会,等.人工智能在甲状腺相关性眼病中的应用指南(2023)[J].眼科新进展,2023,43(11):841.[doi:10.13389/j.cnki.rao.2023.0169]
Expert Workgroup of Guidelines for the Application of Artificial Intelligence in Thyroid Associated Ophthalmopathy(0),Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association,Ocular Oncology Committee of the Ophthalmology Branch of the Chinese Medical Doctor Association,et al.Guidelines for the application of artificial intelligence in thyroid-associated ophthalmopathy (2023)[J].Recent Advances in Ophthalmology,2023,43(4):841.[doi:10.13389/j.cnki.rao.2023.0169]
[13]任章军,余进海,桑泽曦,等.人工智能深度学习在眼眶病及眼肿瘤疾病诊疗中的应用研究现状[J].眼科新进展,2024,44(2):163.[doi:10.13389/j.cnki.rao.2024.0032]
REN Zhangjun,YU Jinhai,SANG Zexi,et al.Research advancement of the application of artificial intelligence deep learning in the diagnosis and treatment of orbital diseases and ocular tumors[J].Recent Advances in Ophthalmology,2024,44(4):163.[doi:10.13389/j.cnki.rao.2024.0032]