Publications by authors named "Abdel Hakeem Taguri"
Comput Biol Med
September 2021
Article Synopsis
- The study introduces RFS-Net, a deep learning model designed to accurately segment and identify multi-class retinal fluids (MRF) like intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED) from optical coherence tomography (OCT) images, enhancing anti-VEGF therapy precision.
- RFS-Net uses advanced architecture features like atrous spatial pyramid pooling and residual blocks, trained on a dataset of OCT scans from diverse sources, to improve segmentation accuracy while maintaining global information.
- The model showed promising performance with mean F scores of around 0.76 to 0.81 for MRF segmentation, significantly increasing efficiency compared to traditional manual methods.
