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Full-Text Articles in Optometry
Through The Eyes Of Time, Shaneece Prince, Steven Indelicato
Through The Eyes Of Time, Shaneece Prince, Steven Indelicato
Publications and Research
Frames have been a staple throughout history, however in recent times, a trend of having multiple pairs of glasses opposed to one, life lasting pair, has emerged. As a result, frames have piled up in landfills contributing to the polluting of our environment. Through the analysis of previously recorded studies and statistics, conclusions of the eyewear industry's growing impact on society and the planet were formed.
Millions of frames are in constant circulation, studies show that up to 31% of spectacle wearers out of a group of 375, disposed of their eyewear in the trash. The lifespan of popular eyewear …
Diagnosis Of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning, Yu-Yeh Tsai, Wei-Yang Lin, Shih-Jen Chen, Paisan Ruamviboonsuk, Cheng-Ho King, Chia-Ling Tsai
Diagnosis Of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning, Yu-Yeh Tsai, Wei-Yang Lin, Shih-Jen Chen, Paisan Ruamviboonsuk, Cheng-Ho King, Chia-Ling Tsai
Publications and Research
Purpose: To differentiate polypoidal choroidal vasculopathy (PCV) from choroidal neovascularization (CNV) and to determine the extent of PCV from fluorescein angiography (FA) using attention-based deep learning networks.
Methods: We build two deep learning networks for diagnosis of PCV using FA, one for detection and one for segmentation. Attention-gated convolutional neural network (AG-CNN) differentiates PCV from other types of wet age-related macular degeneration. Gradient-weighted class activation map (Grad-CAM) is generated to highlight important regions in the image for making the prediction, which offers explainability of the network. Attention-gated recurrent neural network (AG-PCVNet) for spatiotemporal prediction is applied for segmentation of PCV. …