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Diagnosis of plus disease in retinopathy of prematurity using Retinal Image multiScale Analysis.
Invest Ophthalmol Vis Sci. 2005 Dec;46(12):4734-8. doi: 10.1167/iovs.05-0646.
2
Evaluation of a computer-based system for plus disease diagnosis in retinopathy of prematurity.
Ophthalmology. 2007 Dec;114(12):e59-67. doi: 10.1016/j.ophtha.2007.10.006.
3
Digital image analysis in retinopathy of prematurity: a comparison of vessel selection methods.
J AAPOS. 2012 Jun;16(3):223-8. doi: 10.1016/j.jaapos.2011.11.015.
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Risk stratification of preplus retinopathy of prematurity by semiautomated analysis of digital images.
Arch Ophthalmol. 2010 Jun;128(6):719-23. doi: 10.1001/archophthalmol.2010.91.
5
Plus disease in retinopathy of prematurity: pilot study of computer-based and expert diagnosis.
J AAPOS. 2007 Dec;11(6):532-40. doi: 10.1016/j.jaapos.2007.09.005. Epub 2007 Oct 29.
6
Semiautomated analysis of retinal vessel diameter in retinopathy of prematurity patients with and without plus disease.
Am J Ophthalmol. 2007 Apr;143(4):723-5. doi: 10.1016/j.ajo.2006.11.024. Epub 2006 Dec 20.
7
Computer-aided diagnosis of plus disease via measurement of vessel thickness in retinal fundus images of preterm infants.
Comput Biol Med. 2015 Nov 1;66:316-29. doi: 10.1016/j.compbiomed.2015.09.009. Epub 2015 Sep 25.
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Plus disease in retinopathy of prematurity: quantitative analysis of vascular change.
Am J Ophthalmol. 2010 Oct;150(4):468-475.e2. doi: 10.1016/j.ajo.2010.04.027.
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Tortuosity of arterioles and venules in quantifying plus disease.
J AAPOS. 2009 Apr;13(2):181-5. doi: 10.1016/j.jaapos.2008.10.019.

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1
Standardizing image acquisition and processing methods: a critical need for the accurate assessment of retinal blood vessel tortuosity.
Biomed Opt Express. 2025 Jun 16;16(7):2739-2755. doi: 10.1364/BOE.566215. eCollection 2025 Jul 1.
3
Multimodal Imaging, Tele-Education, and Telemedicine in Retinopathy of Prematurity.
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Retinopathy of prematurity screening: A narrative review of current programs, teleophthalmology, and diagnostic support systems.
Saudi J Ophthalmol. 2022 Oct 14;36(3):283-295. doi: 10.4103/sjopt.sjopt_220_21. eCollection 2022 Jul-Sep.
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A novel multiple subdivision-based algorithm for quantitative assessment of retinal vascular tortuosity.
Exp Biol Med (Maywood). 2021 Oct;246(20):2222-2229. doi: 10.1177/15353702211032898. Epub 2021 Jul 25.
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Diving Deep into Deep Learning: An Update on Artificial Intelligence in Retina.
Curr Ophthalmol Rep. 2020 Sep;8(3):121-128. doi: 10.1007/s40135-020-00240-2. Epub 2020 Jun 7.
8
Relationship between retinal vessel tortuosity and oxygenation in sickle cell retinopathy.
Int J Retina Vitreous. 2019 Nov 18;5:47. doi: 10.1186/s40942-019-0198-3. eCollection 2019.
9
Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease.
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10
Quantitative Analysis of Conjunctival and Retinal Vessels in Fabry Disease.
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本文引用的文献

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Semiautomated computer analysis of vessel growth in preterm infants without and with ROP.
Br J Ophthalmol. 2003 Dec;87(12):1474-7. doi: 10.1136/bjo.87.12.1474.
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Nasotemporal asymmetry of retinopathy of prematurity.
Arch Ophthalmol. 2003 Nov;121(11):1563-8. doi: 10.1001/archopht.121.11.1563.
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Measuring tortuosity of the intracerebral vasculature from MRA images.
IEEE Trans Med Imaging. 2003 Sep;22(9):1163-71. doi: 10.1109/TMI.2003.816964.
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Retinal vascular tree morphology: a semi-automatic quantification.
IEEE Trans Biomed Eng. 2002 Aug;49(8):912-7. doi: 10.1109/TBME.2002.800789.
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Glaucoma screening: the importance of combining test data.
Optom Vis Sci. 1999 Aug;76(8):537-43. doi: 10.1097/00006324-199908000-00022.
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Observer sensitivity to retinal vessel diameter and tortuosity in retinopathy of prematurity: a model system.
J Pediatr Ophthalmol Strabismus. 1996 Jul-Aug;33(4):248-54. doi: 10.3928/0191-3913-19960701-10.

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