Cargando…
Optical Coherence Tomography Image Classification Using Hybrid Deep Learning and Ant Colony Optimization
Optical coherence tomography (OCT) is widely used to detect and classify retinal diseases. However, OCT-image-based manual detection by ophthalmologists is prone to errors and subjectivity. Thus, various automation methods have been proposed; however, improvements in detection accuracy are required....
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422382/ https://www.ncbi.nlm.nih.gov/pubmed/37571490 http://dx.doi.org/10.3390/s23156706 |