1、Cheng JW, Cheng SW, Ma XY, et al. The prevalence of primary
glaucoma in mainland China: a systematic review and meta-analysis[ J].
J Glaucoma, 2013, 22(4): 301-306.Cheng JW, Cheng SW, Ma XY, et al. The prevalence of primary
glaucoma in mainland China: a systematic review and meta-analysis[ J].
J Glaucoma, 2013, 22(4): 301-306.
2、Gr?dum K, Heijl A, Bengtsson B. A comparison of glaucoma patients
identified through mass screening and in routine clinical practice[ J].
Acta Ophthalmol Scand, 2002, 80(6): 627-631.Gr?dum K, Heijl A, Bengtsson B. A comparison of glaucoma patients
identified through mass screening and in routine clinical practice[ J].
Acta Ophthalmol Scand, 2002, 80(6): 627-631.
3、Li Z, He Y, Keel S, et al. Efficacy of a deep learning system for detecting
glaucomatous optic neuropathy based on color fundus photographs[ J].
Ophthalmology, 2018, 125(8): 1199-1206.Li Z, He Y, Keel S, et al. Efficacy of a deep learning system for detecting
glaucomatous optic neuropathy based on color fundus photographs[ J].
Ophthalmology, 2018, 125(8): 1199-1206.
4、Christopher M, Belghith A, Weinreb RN, et al. Retinal nerve fiber
layer features identified by unsupervised machine learning on optical
coherence tomography scans predict glaucoma progression[ J]. Invest
Ophthalmol Vis Sci, 2018, 59(7): 2748-2756.Christopher M, Belghith A, Weinreb RN, et al. Retinal nerve fiber
layer features identified by unsupervised machine learning on optical
coherence tomography scans predict glaucoma progression[ J]. Invest
Ophthalmol Vis Sci, 2018, 59(7): 2748-2756.
5、Wang M, Pasquale LR, Shen LQ, et al. Reversal of glaucoma hemifield
test results and visual field features in glaucoma[ J]. Ophthalmology,
2018, 125(3): 352-360.Wang M, Pasquale LR, Shen LQ, et al. Reversal of glaucoma hemifield
test results and visual field features in glaucoma[ J]. Ophthalmology,
2018, 125(3): 352-360.
6、Li F, Wang Z, Qu G, et al. Automatic differentiation of Glaucoma visual
field from non-glaucoma visual filed using deep convolutional neural
network[ J]. BMC Med Imaging, 2018, 18(1): 35.Li F, Wang Z, Qu G, et al. Automatic differentiation of Glaucoma visual
field from non-glaucoma visual filed using deep convolutional neural
network[ J]. BMC Med Imaging, 2018, 18(1): 35.
7、Keel S, Wu J, Lee PY, et al. Visualizing deep learning models for the
detection of referable diabetic retinopathy and glaucoma[ J]. JAMA
Ophthalmol, 2019, 137(3): 288-292.Keel S, Wu J, Lee PY, et al. Visualizing deep learning models for the
detection of referable diabetic retinopathy and glaucoma[ J]. JAMA
Ophthalmol, 2019, 137(3): 288-292.
8、Qu X, Wang Q, Chen W, et al. Combined machine learning and
diffusion tensor imaging reveals altered anatomic fiber connectivity of
the brain in primary open-angle glaucoma[ J]. Brain Res, 2019, 1718:
83-90.Qu X, Wang Q, Chen W, et al. Combined machine learning and
diffusion tensor imaging reveals altered anatomic fiber connectivity of
the brain in primary open-angle glaucoma[ J]. Brain Res, 2019, 1718:
83-90.
9、Fu H, Li F, Sun X, et al. AGE challenge: angle closure glaucoma
evaluation in anterior segment optical coherence tomography[ J]. Med
Image Anal, 2020, 66: 101798.Fu H, Li F, Sun X, et al. AGE challenge: angle closure glaucoma
evaluation in anterior segment optical coherence tomography[ J]. Med
Image Anal, 2020, 66: 101798.
10、Fu H, Li F, Xu Y, et al. A Retrospective comparison of deep learning
to manual annotations for optic disc and optic cup segmentation in
fundus photographs[ J]. Transl Vis Sci Technol, 2020, 9(2): 33.Fu H, Li F, Xu Y, et al. A Retrospective comparison of deep learning
to manual annotations for optic disc and optic cup segmentation in
fundus photographs[ J]. Transl Vis Sci Technol, 2020, 9(2): 33.
11、Liu H, Li L, Wormstone IM, et al. Development and validation of
a deep learning system to detect glaucomatous optic neuropathy
using fundus photographs[ J]. JAMA Ophthalmol, 2019, 137(12):
1353-1360.Liu H, Li L, Wormstone IM, et al. Development and validation of
a deep learning system to detect glaucomatous optic neuropathy
using fundus photographs[ J]. JAMA Ophthalmol, 2019, 137(12):
1353-1360.
12、中华医学会眼科学分会青光眼学组, 中国医学装备协会眼科人
工智能学组. 中国基于眼底照相的人工智能青光眼辅助筛查
系统规范化设计及应用指南(2020年)[ J]. 中华眼科杂志, 2020,
56(6): 423-432.
Glaucoma group of Ophthalmology Branch of Chinese Medical
Association, artificial intelligence group of ophthalmology branch of
Chinese Medical Equipment Association. Standardized Design and
Application Guidelines of Artificial intelligence Glaucoma Assisted
screening System based on fundus photography in China (2020)[ J].
Chinese Journal of Ophthalmology, 2020, 56(6): 423-432.中华医学会眼科学分会青光眼学组, 中国医学装备协会眼科人
工智能学组. 中国基于眼底照相的人工智能青光眼辅助筛查
系统规范化设计及应用指南(2020年)[ J]. 中华眼科杂志, 2020,
56(6): 423-432.
Glaucoma group of Ophthalmology Branch of Chinese Medical
Association, artificial intelligence group of ophthalmology branch of
Chinese Medical Equipment Association. Standardized Design and
Application Guidelines of Artificial intelligence Glaucoma Assisted
screening System based on fundus photography in China (2020)[ J].
Chinese Journal of Ophthalmology, 2020, 56(6): 423-432.
13、Shi G, Jiang Z, Deng G, et al. Automatic classification of anterior
chamber angle using ultrasound biomicroscopy and deep learning[ J].
Transl Vis Sci Technol, 2019, 8(4): 25.Shi G, Jiang Z, Deng G, et al. Automatic classification of anterior
chamber angle using ultrasound biomicroscopy and deep learning[ J].
Transl Vis Sci Technol, 2019, 8(4): 25.
14、Li W, Chen Q, Jiang Z, et al. Automatic anterior chamber angle measurement for ultrasound biomicroscopy using deep learning[ J]. J
Glaucoma, 2020, 29(2): 81-85.Li W, Chen Q, Jiang Z, et al. Automatic anterior chamber angle measurement for ultrasound biomicroscopy using deep learning[ J]. J
Glaucoma, 2020, 29(2): 81-85.
15、Azuara-Blanco A, Burr J, Ramsay C, et al. Effectiveness of early lens
extraction for the treatment of primary angle-closure glaucoma
(EAGLE): a randomised controlled trial[ J]. Lancet, 2016, 388(10052):
1389-1397.Azuara-Blanco A, Burr J, Ramsay C, et al. Effectiveness of early lens
extraction for the treatment of primary angle-closure glaucoma
(EAGLE): a randomised controlled trial[ J]. Lancet, 2016, 388(10052):
1389-1397.
16、He M, Jiang Y, Huang S, et al. Laser peripheral iridotomy for the
prevention of angle closure: a single-centre, randomised controlled
trial[ J]. Lancet, 2019, 393(10181): 1609-1618.He M, Jiang Y, Huang S, et al. Laser peripheral iridotomy for the
prevention of angle closure: a single-centre, randomised controlled
trial[ J]. Lancet, 2019, 393(10181): 1609-1618.
17、Chen Y, Jiang D, Yu L, et al. CYP1B1 and MYOC mutations in
116 Chinese patients with primary congenital glaucoma[ J]. Arch
Ophthalmol, 2008, 126(10): 1443-1447.Chen Y, Jiang D, Yu L, et al. CYP1B1 and MYOC mutations in
116 Chinese patients with primary congenital glaucoma[ J]. Arch
Ophthalmol, 2008, 126(10): 1443-1447.
18、Chen Y, Lin Y, Vithana EN, et al. Common variants near ABCA1 and
in PMM2 are associated with primary open-angle glaucoma[ J]. Nat
Genet, 2014, 46(10): 1115-1119.Chen Y, Lin Y, Vithana EN, et al. Common variants near ABCA1 and
in PMM2 are associated with primary open-angle glaucoma[ J]. Nat
Genet, 2014, 46(10): 1115-1119.
19、Chen Y, Chen X, Wang L, et al. Extended association study of
PLEKHA7 and COL11A1 with primary angle closure glaucoma in a
Han Chinese population[ J]. Invest Ophthalmol Vis Sci, 2014, 55(6):
3797-3802.Chen Y, Chen X, Wang L, et al. Extended association study of
PLEKHA7 and COL11A1 with primary angle closure glaucoma in a
Han Chinese population[ J]. Invest Ophthalmol Vis Sci, 2014, 55(6):
3797-3802.
20、Gazzard G, Konstantakopoulou E, Garway-Heath D, et al. Selective
laser trabeculoplasty versus eye drops for first-line treatment of ocular
hypertension and glaucoma (LiGHT): a multicentre randomised
controlled trial[ J]. Lancet, 2019, 393(10180): 1505-1516.Gazzard G, Konstantakopoulou E, Garway-Heath D, et al. Selective
laser trabeculoplasty versus eye drops for first-line treatment of ocular
hypertension and glaucoma (LiGHT): a multicentre randomised
controlled trial[ J]. Lancet, 2019, 393(10180): 1505-1516.
21、Sacks ZS, Dobkin-Bekman M, Geffen N, et al. Non-contact direct
selective laser trabeculoplasty: light propagation analysis[ J]. Biomed
Opt Express, 2020, 11(6): 2889-2904.Sacks ZS, Dobkin-Bekman M, Geffen N, et al. Non-contact direct
selective laser trabeculoplasty: light propagation analysis[ J]. Biomed
Opt Express, 2020, 11(6): 2889-2904.
22、Gratieri T, Gelfuso GM, Rocha EM, et al. A poloxamer/chitosan in situ
forming gel with prolonged retention time for ocular delivery[ J]. Eur J
Pharm Biopharm, 2010, 75(2): 186-193.Gratieri T, Gelfuso GM, Rocha EM, et al. A poloxamer/chitosan in situ
forming gel with prolonged retention time for ocular delivery[ J]. Eur J
Pharm Biopharm, 2010, 75(2): 186-193.
23、Shastri DH, Prajapati ST, Patel LD. Thermoreversible mucoadhesive
ophthalmic in situ hydrogel: Design and optimization using a
combination of polymers[ J]. Acta Pharm, 2010, 60(3): 349-360.Shastri DH, Prajapati ST, Patel LD. Thermoreversible mucoadhesive
ophthalmic in situ hydrogel: Design and optimization using a
combination of polymers[ J]. Acta Pharm, 2010, 60(3): 349-360.
