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A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs.

, , , , and . AIME, volume 11526 of Lecture Notes in Computer Science, page 347-351. Springer, (2019)

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A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs., , , , and . AIME, volume 11526 of Lecture Notes in Computer Science, page 347-351. Springer, (2019)Perceptual Dissimilarity: A Measure to Quantify the Degradation of Medical Images., , , and . DICTA, page 1-6. IEEE, (2012)Retinal Blood Vessel Segmentation: A Semi-supervised Approach., , , , and . IbPRIA (2), volume 11868 of Lecture Notes in Computer Science, page 98-107. Springer, (2019)Haar Pattern Based Binary Feature Descriptor for Retinal Image Registration., and . DICTA, page 1-6. IEEE, (2019)Color Correction: A Novel Weighted Von Kries Model Based on Memory Colors., , , , and . CCIW, volume 6626 of Lecture Notes in Computer Science, page 165-175. Springer, (2011)Perceptual dissimilarity metric: A full reference objective image quality measure to quantify the degradation of perceptual image quality., , , and . ISSPIT, page 327-332. IEEE Computer Society, (2013)A Deep Learning-Based System for the Assessment of Dental Caries Using Colour Dental Photographs., , , , , , , , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 911-915. IOS Press, (2023)ALOHA: An efficient binary descriptor based on Haar features., and . ICIP, page 2345-2348. IEEE, (2012)Compressed sensing inspired rapid algebraic reconstruction technique for computed tomography., , , and . ISSPIT, page 398-403. IEEE Computer Society, (2013)Perceptual image quality: A dissimilarity measure to quantify the degradation of image quality., , , , and . EUVIP, page 245-249. IEEE, (2013)