( en | de | ru )

 

Disambiguation of "González, Antonio Mosquera"

Author of the publication

copydeleteadd this publication to your clipboard
Automatic classification of the interferential tear film lipid layer using colour texture analysis.

, , , , , and . Comput. Methods Programs Biomed., 111 (1): 93-103 (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Antonio Jiménez González

Antonio Javier González Martínez

Juan Antonio González-Gómez

Juan Antonio Diaz Gonzalez

José González

 

Other publications of authors with the same name

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)Texture Description in Local Scale Using Texton Histograms with Universal Dictionary., , , and . DICTA, page 47-52. IEEE Computer Society, (2009)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)Color Video Segmentation by Dissimilarity Based on Edges., , , , and . HAIS (2), volume 6077 of Lecture Notes in Computer Science, page 264-271. Springer, (2010)Curvature Dependent Diffusion for Feature Detection in 3D Medical Images., , , and . VIIP, page 371-376. ACTA Press, (2001)Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test., , , , , , , and . ICTAI, page 359-366. IEEE Computer Society, (2012)Adaptive parameter computation for the automatic measure of the Tear Break-Up Time., , , , , , and . KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 1370-1379. IOS Press, (2012)Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva., , , and . IJCNN, page 1673-1680. IEEE, (2017)Comparing Machine Learning Techniques in a Hyperemia Grading Framework., , , , and . ICAART (2), page 423-429. SciTePress, (2016)