参考文献/References:
[1] TING D S W,PASQUALE L R,PENG L,CAMPBELL J P,LEE A Y,RAMAN R,et al.Artificial intelligence and deep learning in ophthalmology[J].Br J Ophthalmol,2019,103(2):167-175.
[2] 陈健祺,李睿扬,林铎儒,项毅帆,赖伟翊,林浩添.人工智能在眼病筛查和诊断中的研究进展[J].眼科学报,2022,37(3):208-213.
CHEN J Q,LI R Y,LIN D R,XIANG Y F,LAI W Y,LIN H T.Research progress of artificial intelligence in screening and diagnosis of eye diseases[J].Eye Sci,2022,37(3):208-213.
[3] 何俊,张彩庆,李小珍,张德海.面向深度学习的多模态融合技术研究综述[J].计算机工程,2020,46(5):1-11.
HE J,ZHANG C Q,LI X Z,ZHANG D H.Survey of research on multimodal fusion technology for deep learning [J].Comput Eng,2020,46(5):1-11.
[4] BALTRUSAITIS T,AHUJA C,MORENCY L P.Multimodal machine learning:a survey and taxonomy[J].IEEE Trans Pattern Anal Mach Intell,2019,41(2):423-443.
[5] YUHAS B P,GOLDSTEIN M H,SEJNOWSKI T J.Integration of acoustic and visual speech signals using neural networks[J].IEEE Commun Mag,1989,27(11):65-71.
[6] MEYER C R,BOES J L,KIM B,BLAND P H,ZASADNY K R,KISON P V,et al.Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations[J].Med Image Anal,1997,1(3):195-206.
[7] KLINE A,WANG H,LI Y,DENNIS S,HUTCH M,XU Z X,et al.Multimodal machine learning in precision health:a scoping review[J].NPJ Digit Med,2022,5(1):171.
[8] 任泽裕,王振超,柯尊旺,李哲,吾守尔·斯拉木.多模态数据融合综述[J].计算机工程与应用,2021,57 (18):49-64.
REN Z Y,WANG Z C,KE Z W,LI Z,WUSHOUR S.Survey of multimodal data fusion[J].Comput Eng Appl,2021,57 (18):49-64.
[9] ANTON N,DOROFTEI B,CURTEANU S,CATALIN L,LLIE O D,TARCOVEANU F,et al.Comprehensive review on the use of artificial intelligence in ophthalmology and future research directions[J].Compute Diagnostics (Basel),2022,13(1):100.
[10] 李朝辉,吴畏.重视人工智能在眼科领域的应用[J].解放军医学院学报,2022,43(10):1010-1013.
LI Z H,WU W.Prospects of artificial intelligence in ophthalmology[J].Acad J Chin PLA Med Sch Jan,2022,43(10):1010-1013.
[11] WONG W L,SU X,LI X,CHEUNG C M G,KLEIN R,CHENG CY,et al.Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040:a systematic review and meta-analysis[J].Lancet Glob Health,2014,2(2):e106-e116.
[12] JIN K,YAN Y,CHEN M L,WANG J,PAN X J,LIU X D,et al.Multimodal deep learning with feature level fusion for identification of choroidal neovascularization activity in age-related macular degeneration[J].Acta Ophthalmol,2022,100(2):e512-e520.
[13] YOO T K,CHOI J Y,SEO J G,RAMASUBRAMANIAN B,SELVAPERUMAL S,KIM D W.The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration:a preliminary experiment[J].Med Biol Eng Comput,2019,57(3):677-687.
[14] IACOVACCI J,PALORINI F,CICCHETTI A,FIOTINO C,RANCATI T.Dependence of the AUC of NTCP models on the observational dose-range highlights cautions in comparison of discriminative performance[J].Phys Med,2023,113:102654.
[15] WANG W S,LI X R,XU Z Y,YU W H,ZHAO J C,DING D Y,et al.Learning two-stream CNN for multi-modal age-related macular degeneration categorization[J].IEEE J Biomed Health Inform,2022,26(8):4111-4122.
[16] CHEN M L,JIN K,YAN Y,LIU X D,HUANG X L,GAO Z Y,et al.Automated diagnosis of age-related macular degeneration using multi-modal vertical plane feature fusion via deep learning[J].Med Phys,2022,49(4):2324-2333.
[17] HUANG C,XIE K R,ZHANG Y H,LI M C,YUAN S T,CHEN Q.Choroidal neovascularization fusion visualization for spectral-domain optical coherence tomography and optical coherence tomography angiography images[J].Med Phys,2021,48(4):1731-1738.
[18] HSU M Y,CHIOU J Y,LIU J T,LEE C M,LEE Y W,CHOU C C,et al.Deep learning for automated diabetic retinopathy screening fused with heterogeneous data from EHRs can lead to earlier referral decisions[J].Transl Vis Sci Technol,2021,10(9):18.
[19] TSENG V S,CHEN C L,LIANG C M,TAI M C,LIU J T,WU P Y,et al.Leveraging multimodal deep learning architecture with retina lesion information to detect diabetic retinopathy[J].Transl Vis Sci Technol,2020,9(2):41.
[20] HE X X,DENG Y,FANG L Y,PENG Q H.Multi-modal retinal image classification with modality-specific attention network[J].IEEE Trans Med Imaging,2021,40(6):1591-1602.
[21] AI Z,HUANG X,FENG J,WANG H,TAO Y,ZENG F X,et al.FN-OCT:Disease detection algorithm for retinal optical coherence tomography based on a fusion network[J].Front Neuroinform,2022,16:876927.
[22] KERMANY D S,GOLDBAUM M,CAI W J,VALENTIM C C S,LIANG H Y,BAXTER S L,et al.Identifying medical diagnoses and treatable diseases by image-based deep learning [J].Cell,2018,172(5):1122-1131.
[23] WEN D J,YU Z H,YANG Z W,ZHENG C Z,REN X J,SHAO Y,et al.Deep learning-based postoperative visual acuity prediction in idiopathic epiretinal membrane[J].BMC Ophthalmol,2023,23(1):361.
[24] KOLAR R,KUBECKA L,JAN J.Registration and fusion of the autofluorescent and infrared retinal images[J].Int J Biomed Imaging,2008,2008:513411-513478.
[25] YI S L,ZHANG G,QIAN C X,LU Y Q,ZHONG H,HE J F.A multimodal classification architecture for the severity diagnosis of glaucoma based on deep learning[J].Front Neurosci,2022,16.
[26] XIONG J,LI F,SONG D P,TANG G X,HE J J,GAO K,et al.Multimodal machine learning using visual fields and peripapillary circular OCT scans in detection of glaucomatous optic neuropathy[J].Ophthalmology,2022,129(2):171-180.
[27] KIHARA Y,MONTESANO G,CHEN A,AMERASINGHE N,DIMITRIOU C,JACOB A,et al.Policy-driven,multimodal deep learning for predicting visual fields from the optic disc and OCT imaging[J].Ophthalmology,2022,129(7):781-791.
[28] De ZANET S I,CILLER C,RUDOLPH T,MAEDER P,MUNIER F,BALMER A,et al.Landmark detection for fusion of fundus and MRI toward a patient-specific multimodal eye model[J].IEEE Trans Biomed Eng,2015,62(2):532-540.
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