Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements

A hierarchical approach to learn from visual field data was adopted to identify glaucomatous visual field defect patterns and to detect glaucomatous progression. The analysis pipeline included three stages, namely, clustering, glaucoma boundary limit detection, and glaucoma progression detection tes...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:IEEE Trans Biomed Eng
Päätekijät: Yousefi, Siamak, Goldbaum, Michael H., Balasubramanian, Madhusudhanan, Medeiros, Felipe A., Zangwill, Linda M., Liebmann, Jeffrey M., Girkin, Christopher A., Weinreb, Robert N., Bowd, Christopher
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2014
Aiheet:
Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4254715/
https://ncbi.nlm.nih.gov/pubmed/24710816
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2014.2314714
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia