Cargando…
OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN
Optical coherence tomography (OCT) of the posterior segment of the eye provides high-resolution cross-sectional images that allow visualization of individual layers of the posterior eye tissue (the retina and choroid), facilitating the diagnosis and monitoring of ocular diseases and abnormalities. T...
Autores principales: | Viedma, Ignacio A., Alonso-Caneiro, David, Read, Scott A., Collins, Michael J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914986/ https://www.ncbi.nlm.nih.gov/pubmed/35271165 http://dx.doi.org/10.3390/s22052016 |
Ejemplares similares
-
A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation
por: Kugelman, Jason, et al.
Publicado: (2022) -
An Instance Segmentation Model for Strawberry Diseases Based on Mask R-CNN
por: Afzaal, Usman, et al.
Publicado: (2021) -
Automatic choroidal segmentation in OCT images using supervised deep learning methods
por: Kugelman, Jason, et al.
Publicado: (2019) -
Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation
por: Zhang, Yiqing, et al.
Publicado: (2020) -
Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field
por: Shen, Lei, et al.
Publicado: (2022)