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On the analysis of local and global features for hyperemia grading.

, , , , , and . ICMV, volume 10341 of SPIE Proceedings, page 103411T. SPIE, (2016)

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Curvature Dependent Diffusion for Feature Detection in 3D Medical Images., , , and . VIIP, page 371-376. ACTA Press, (2001)Feature Selection Applied to Human Tear Film Classification., , , , and . ICAART (1), page 395-402. SciTePress, (2014)Significant Perceptual Regions by Active-Nets., , , and . ICIAR (1), volume 3212 of Lecture Notes in Computer Science, page 795-802. Springer, (2004)Color Texture Analysis for Tear Film Classification: A Preliminary Study., , , , and . ICIAR (2), volume 6112 of Lecture Notes in Computer Science, page 388-397. Springer, (2010)Precise segmentation of the bulbar conjunctiva for hyperaemia images., , , , and . Pattern Anal. Appl., 21 (2): 563-577 (2018)Color Video Segmentation by Dissimilarity Based on Edges., , , , and . HAIS (2), volume 6077 of Lecture Notes in Computer Science, page 264-271. Springer, (2010)Computer-Aided Diagnosis: A Neural Network Based Approach to Lung Nodule Detection., , , and . IEEE Trans. Med. Imaging, 17 (6): 872-880 (1998)Texture Description in Local Scale Using Texton Histograms with Universal Dictionary., , , and . DICTA, page 47-52. IEEE Computer Society, (2009)Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test., , , , , , , and . ICTAI, page 359-366. IEEE Computer Society, (2012)Comparing Machine Learning Techniques in a Hyperemia Grading Framework., , , , and . ICAART (2), page 423-429. SciTePress, (2016)