Cargando…
A Review of Machine Learning Algorithms for Retinal Cyst Segmentation on Optical Coherence Tomography
Optical coherence tomography (OCT) is an emerging imaging technique for diagnosing ophthalmic diseases and the visual analysis of retinal structure changes, such as exudates, cysts, and fluid. In recent years, researchers have increasingly focused on applying machine learning algorithms, including c...
Autores principales: | Wei, Xing, Sui, Ruifang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054815/ https://www.ncbi.nlm.nih.gov/pubmed/36991857 http://dx.doi.org/10.3390/s23063144 |
Ejemplares similares
-
A Review of Algorithms for Segmentation of Optical Coherence Tomography from Retina
por: Kafieh, Raheleh, et al.
Publicado: (2013) -
Deep Learning with Automatic Data Augmentation for Segmenting Schisis Cavities in the Optical Coherence Tomography Images of X-Linked Juvenile Retinoschisis Patients
por: Wei, Xing, et al.
Publicado: (2023) -
Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images
por: Lin, Mengchen, et al.
Publicado: (2022) -
Optical Coherence Tomography and Optical Coherence Tomography Angiography in Pediatric Retinal Diseases
por: Wang, Chung-Ting, et al.
Publicado: (2023) -
Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm
por: Saeidian, Jamshid, et al.
Publicado: (2023)