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Precise segmentation of the bulbar conjunctiva for hyperaemia images., , , , and . Pattern Anal. Appl., 21 (2): 563-577 (2018)Choroid segmentation in non-EDI OCT images of multiple sclerosis patients., , , , , and . XoveTIC, volume 14 of Kalpa Publications in Computing, page 10-13. EasyChair, (2022)Automatic Selection of Video Frames for Hyperemia Grading., , , , and . EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 479-486. Springer, (2015)On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings., , , , , and . Artif. Intell. Medicine, (2016)On the analysis of feature selection techniques in a conjunctival hyperemia grading framework., , , , , and . ESANN, (2016)Colour Texture Segmentation of Tear Film Lipid Layer Images., , , , and . EUROCAST (2), volume 8112 of Lecture Notes in Computer Science, page 140-147. Springer, (2013)Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva., , , and . IJCNN, page 1673-1680. IEEE, (2017)Defining the Optimal Region of Interest for Hyperemia Grading in the Bulbar Conjunctiva., , , , and . Comput. Math. Methods Medicine, (2016)