Cargando…
Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration
PURPOSE: The purpose of this study was to provide a comparison of performance and explainability of a multitask convolutional deep neuronal network to single-task networks for activity detection in neovascular age-related macular degeneration (nAMD). METHODS: From 70 patients (46 women and 24 men) w...
Autores principales: | Ayhan, Murat Seçkin, Faber, Hanna, Kühlewein, Laura, Inhoffen, Werner, Aliyeva, Gulnar, Ziemssen, Focke, Berens, Philipp |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103736/ https://www.ncbi.nlm.nih.gov/pubmed/37052912 http://dx.doi.org/10.1167/tvst.12.4.12 |
Ejemplares similares
-
Unsupervised online multitask learning of behavioral sentence embeddings
por: Tseng, Shao-Yen, et al.
Publicado: (2019) -
A multitask model for realtime fish detection and segmentation based on YOLOv5
por: Liu, QinLi, et al.
Publicado: (2023) -
Deep Learning for Diagnosing and Segmenting Choroidal Neovascularization in OCT Angiography in a Large Real-World Data Set
por: Wang, Jie, et al.
Publicado: (2023) -
Etiology of Macular Edema Defined by Deep Learning in Optical Coherence Tomography Scans
por: Padilla-Pantoja, Fabio Daniel, et al.
Publicado: (2022) -
Artificial intelligence-based predictions in neovascular age-related macular degeneration
por: Ferrara, Daniela, et al.
Publicado: (2021)