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Measurement and classification of retinal vascular tortuosity.

, , , , and . Int. J. Medical Informatics, 53 (2-3): 239-252 (1999)

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Fuzzy Convergence., and . CVPR, page 716-721. IEEE Computer Society, (1998)Image Database Assisted Classification., , , , , and . VISUAL, volume 1614 of Lecture Notes in Computer Science, page 727-734. Springer, (1999)Recognizing patterns of visual field loss using unsupervised machine learning., , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90342M. SPIE, (2014)Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response., , and . AMIA, AMIA, (1998)Luminosity and contrast normalization in color retinal images based on standard reference image., , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97843N. SPIE, (2016)Detecting glaucomatous change in visual fields: Analysis with an optimization framework., , , , , , , , , and 1 other author(s). J. Biomed. Informatics, (2015)Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma., , , and . CVPR Workshops, page 4393-4401. Computer Vision Foundation / IEEE, (2020)Glaucoma Precognition Based on Confocal Scanning Laser Ophthalmoscopy Images of the Optic Disc Using Convolutional Neural Network., , and . CVPR Workshops, page 2259-2267. Computer Vision Foundation / IEEE, (2021)Measurement and classification of retinal vascular tortuosity., , , , and . Int. J. Medical Informatics, 53 (2-3): 239-252 (1999)Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images., , , , , , and . ICIP (3), page 695-698. IEEE Computer Society, (1996)