본문 바로가기 주메뉴 바로가기
국회도서관 홈으로 정보검색 소장정보 검색

초록보기

Purpose: To develop a deep learning model that can predict the axial lengths of eyes using ultra-widefield (UWF) fundus photography.

Methods: We retrospectively enrolled patients who visited the ophthalmology clinic at the Seoul National University Hospital between September 2018 and December 2021. Patients with axial length measurements and UWF images taken within 3 months of axial length measurement were included in the study. The dataset was divided into a development set and a test set at an 8:2 ratio while maintaining an equal distribution of axial lengths (stratified splitting with binning). We used transfer learning-based on EfficientNet B3 to develop the model. We evaluated the model’s performance using mean absolute error (MAE), R-squared (R2), and 95% confidence intervals (CIs). We used vanilla gradient saliency maps to illustrate the regions predominantly used by convolutional neural network.

Results: In total, 8,657 UWF retinal fundus images from 3,829 patients (mean age, 63.98 ±15.25 years) were included in the study. The deep learning model predicted the axial lengths of the test dataset with MAE and R² values of 0.744 mm (95% CI, 0.709–0.779 mm) and 0.815 (95% CI, 0.785–0.840), respectively. The model’s accuracy was 73.7%, 95.9%, and 99.2% in prediction, with error margins of ±1.0, ±2.0, and ±3.0 mm, respectively.

Conclusions: We developed a deep learning-based model for predicting the axial length from UWF images with good performance.

권호기사

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
Deep learning-based prediction of axial length using ultra-widefield fundus photography Richul Oh, Eun Kyoung Lee, Kunho Bae, Un Chul Park, Hyeong Gon Yu, Chang Ki Yoon p. 95-104

Surgical outcomes of vitrectomy for primary treatment of rhegmatogenous retinal detachment in patients with atopic dermatitis Kyung Ho Lee, Yoo-Ri Chung, Ha Ryung Park, Tae Kyoung Woo, Kihwang Lee p. 105-111

Correlation between interocular asymmetry of corneal hysteresis and visual field defect in glaucoma Eun Jung Choi, Kyung Nam Kim, Mi Yeon Song, Young Hoon Hwang p. 112-119

Possibility of neurological diseases associated with acute acquired comitant esotropia Mayuree Montriwet p. 120-127

Clinical outcomes of intrascleral fixation of intraocular lens compared to ciliary sulcus implantation and transscleral fixation Eun Gyu Yoon, Youngsub Eom, Minji Woo, Hyun Sun Jeon, Seong-Jae Kim, Jong Suk Song, Hyo Myung Kim p. 128-136

Comparison of optical coherence tomography biomarkers between bevacizumab good responders and nonresponders who were switched to dexamethasone implant in diabetic macular edema Jeong Hyun Lee, Joo Young Shin, Jeeyun Ahn p. 137-146

Thyrotropin receptor autoantibody assessment in thyroid eye disease : does the assay type matter? Malik Moledina, Jonathan Roos, Rachna Murthy p. 147-156

Scleral lens applications focused on Korean patients with various corneal disorders Ko Eun Lee, Su Young Moon, Sanghyu Nam, Joon Hyuck Jang, Jae Yong Kim, Hungwon Tchah, Hun Lee p. 157-165

Voretigene neparvovec for the treatment of RPE65-associated retinal dystrophy : consensus and recommendations from the Korea RPE65-IRD Consensus Paper Committee Jinu Han, Kwangsic Joo, Ungsoo Samuel Kim, Se Joon Woo, Eun Kyoung Lee, Joo Yong Lee, Tae Kwann Park, Sang Jin Kim, Suk Ho Byeon p. 166-186

(Correspondence) Acute exacerbation of conjunctival papilloma after high-frequency radio wave electrosurgery for conjunctivochalasis : a case report Dae Sung Kim, Yeon Hee Choi, Yoo Jung Kim, Min Ho Kang p. 187-189

(Correspondence) Inverted mucoepidermoid papilloma : a case report Hyunchul Jeong, Namju Kim p. 190-191

(Correspondence) An atypical presentation of optic disc melanocytoma : a case report Rosa L. Pinheiro, Rui B. Proença, Cristina Fonseca p. 192-194

(Correspondence) The first Korean child of Jalili syndrome with a novel missense mutation in cation transport mediator 4 (CNNM4) : a case report Ji Hye Lee, Shin Hae Park, Ji Sook Yim, Myung Shin Kim, Sin-Young Kim p. 195-197

(Letter to the editor) Comments on “The Correlation of Peripapillary and Juxtapapillary Choroidal Thickness in Healthy Subjects” Salih Uzun, Fatma Uzun p. 198-199

참고문헌 (16건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Olsen T. Calculation of intraocular lens power: a review. Acta Ophthalmol Scand 2007;85:472–85. 미소장
2 Haarman AE, Enthoven CA, Tideman JW, et al. The complications of myopia: a review and meta-analysis. Invest Ophthalmol Vis Sci 2020;61:49. 미소장
3 Hashimoto S, Yasuda M, Fujiwara K, et al. Association between axial length and myopic maculopathy: the Hisayama Study. Ophthalmol Retina 2019;3:867–73. 미소장
4 Oku Y, Oku H, Park M, et al. Long axial length as risk factor for normal tension glaucoma. Graefes Arch Clin Exp Ophthalmol 2009;247:781–7. 미소장
5 Li M, Yang Y, Jiang H, et al. Retinal microvascular network and microcirculation assessments in high myopia. Am J Ophthalmol 2017;174:56–67. 미소장
6 Liu M, Wang P, Hu X, et al. Myopia-related stepwise and quadrant retinal microvascular alteration and its correlation with axial length. Eye (Lond) 2021;35:2196–205. 미소장
7 Yang Y, Wang J, Jiang H, et al. Retinal microvasculature alteration in high myopia. Invest Ophthalmol Vis Sci 2016;57:6020–30. 미소장
8 Moon JY, Garg I, Cui Y, et al. Wide-field swept-source optical coherence tomography angiography in the assessment of retinal microvasculature and choroidal thickness in patients with myopia. Br J Ophthalmol 2023;107:102–8. 미소장
9 Dong L, Hu XY, Yan YN, et al. Deep Learning-based estimation of axial length and subfoveal choroidal thickness from color fundus photographs. Front Cell Dev Biol 2021;9:653692. 미소장
10 Nussenblatt RB, Palestine AG, Chan CC, Roberge F. Standardization of vitreal inflammatory activity in intermediate and posterior uveitis. Ophthalmology 1985;92:467–71. 미소장
11 Tan M, Le Q. EfficientNet: rethinking model scaling for convolutional neural networks. PMLR 2019;97:6105–14. 미소장
12 Simonyan K, Vedaldi A, Zisserman A. Deep inside convolutional networks: isualizing image classification models and saliency maps [Preprint]. Posted 2014 Apr 19. arXiv:1312.6034 https://doi.org/10.48550/arXiv.1312.6034 미소장
13 Jeong Y, Lee B, Han JH, Oh J. Ocular axial length prediction based on visual interpretation of retinal fundus images via deep neural network. IEEE J Sel Top Quantum Electron 2020;27:1–7. 미소장
14 Gordon RA, Donzis PB. Refractive development of the human eye. Arch Ophthalmol 1985;103:785–9. 미소장
15 Jagadeesh D, Philip K, Naduvilath TJ, et al. Tessellated fundus appearance and its association with myopic refractive error. Clin Exp Optom 2019;102:378–84. 미소장
16 Lee K M, Park SW, K im M, et al. Relationship between three-dimensional magnetic resonance imaging eyeball shape and optic nerve head morphology. Ophthalmology 2021;128:532–44. 미소장