Cargando…
Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning
PURPOSE: To develop a deep learning model for objective evaluation of experimental autoimmune uveitis (EAU), the animal model of posterior uveitis that reveals its essential pathological features via fundus photographs. METHODS: We developed a deep learning construct to identify uveitis using refere...
Autores principales: | Sun, Jian, Huang, Xiaoqin, Egwuagu, Charles, Badr, Youakim, Dryden, Stephen Charles, Fowler, Brian Thomas, Yousefi, Siamak |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718814/ https://www.ncbi.nlm.nih.gov/pubmed/33294300 http://dx.doi.org/10.1167/tvst.9.2.59 |
Ejemplares similares
-
A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs
por: Fu, Huazhu, et al.
Publicado: (2020) -
Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals
por: Yamashita, Takehiro, et al.
Publicado: (2020) -
Ophthalmologist-Level Classification of Fundus Disease With Deep Neural Networks
por: Jiang, Ping, et al.
Publicado: (2020) -
Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms
por: Son, Jaemin, et al.
Publicado: (2020) -
Identifying Peripheral Neuropathy in Colour Fundus Photographs Based on Deep Learning
por: Cervera, Diego R., et al.
Publicado: (2021)