Now showing items 1-5 of 5

    • Automated Cataract Grading using Smartphone Images 

      Nasir zonouzi, Mona (University of Waterloo, 2021-02-02)
      A cataract is an age-related eye disease and is one of the leading ophthalmological public health problems in developed and developing countries. Early detection of cataracts is necessary to preserve sight and prevent the ...
    • Automated Segmentation of Retinal Optical Coherence Tomography Images 

      Roy, Priyanka (University of Waterloo, 2018-08-21)
      Aim. Optical Coherence Tomography (OCT) is a fast and non-invasive medical imaging technique which helps in the investigation of each individual retinal layer structure. For early detection of retinal diseases and the study ...
    • Deep Generative Modeling Based Retinal Image Analysis 

      Sengupta, Sourya (University of Waterloo, 2020-06-16)
      In the recent past, deep learning algorithms have been widely used in retinal image analysis (fundus and OCT) to perform tasks like segmentation and classification. But to build robust and highly efficient deep learning ...
    • Developing algorithms for the analysis of retinal Optical Coherence Tomography images 

      Gholami, Peyman (University of Waterloo, 2018-09-04)
      Vision loss, with a prevalence loss greater than 42 million in the United States is one of the major challenges of today's health-care industry and medical science. Early detection of different retinal-related diseases ...
    • Explainable AI for retinal OCT diagnosis 

      Brar, Amitojdeep Singh (University of Waterloo, 2021-01-20)
      Artificial intelligence methods such as deep learning are leading to great progress in complex tasks that are usually associated with human intelligence and experience. Deep learning models have matched if not bettered ...

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