Cargando…
Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis
Diabetic retinopathy (DR) is a leading cause of vision loss in diabetic patients. DR is mainly caused due to the damage of retinal blood vessels in the diabetic patients. It is essential to detect and segment the retinal blood vessels for DR detection and diagnosis, which prevents earlier vision los...
Autores principales: | Siva Sundhara Raja, D., Vasuki, S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355346/ https://www.ncbi.nlm.nih.gov/pubmed/25810749 http://dx.doi.org/10.1155/2015/419279 |
Ejemplares similares
-
Automatic Grading of Retinal Blood Vessel in Deep Retinal Image Diagnosis
por: Maji, Debasis, et al.
Publicado: (2020) -
MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images
por: Liu, Ruochen, et al.
Publicado: (2022) -
Automated Diagnosis of Diabetic Retinopathy Using Deep Learning: On the Search of Segmented Retinal Blood Vessel Images for Better Performance
por: Khan, Mohammad B., et al.
Publicado: (2023) -
Automatic Diagnosis of Diabetic Retinopathy Stage Focusing Exclusively on Retinal Hemorrhage
por: Tokuda, Yoshihiro, et al.
Publicado: (2022) -
Automatic Detection of Abnormalities and Grading of Diabetic Retinopathy in 6-Field Retinal Images: Integration of Segmentation Into Classification
por: Andersen, Jakob K. H., et al.
Publicado: (2022)