The Use of Area Covered by Blood Vessels in Fundus Images to Detect Glaucoma
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-49342-4_35
Reference29 articles.
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2. Moon, J., Park, K.H., Kim, D.M., Kim, S.H.: Factors affecting ISNT rule satisfaction in normal and glaucomatous eyes. Korean J. Ophthalmol. KJO (2018). https://doi.org/10.3341/kjo.2017.0031
3. Ahmad, H., Yamin, A., Shakeel, A., Gillani, S.O., Ansari, U.: Detection of glaucoma using retinal fundus images. In: IEEE International Conference on Robotics and Emerging Allied Technologies in Engineering 2014, pp. 321–324 (2014)
4. Bhartiya, S., Gadia, R., Sethi, H.S., Panda, A.: Clinical evaluation of optic nerve head in glaucoma. Curr. J. Glaucoma Pract. DVD 4, 115–132 (2010). https://doi.org/10.5005/jp-journals-10008-1080
5. Das, P., Nirmala, S.R., Medhi, J.P.: Detection of glaucoma using neuroretinal rim information. In: International Conference on Accessibility to Digital World, ICADW 2016, pp. 181–186 (2016)
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1. Commentary: Can the vessels help solve the puzzle? Distinguishing high myopes from primary open-angle glaucomas;Indian Journal of Ophthalmology;2022
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