1. End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images

    End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images

    Background and objectives: The Epiretinal Membrane (ERM) is an ocular disease that can cause visual distortions and irreversible vision loss. Patient sight preservation relies on an early diagnosis and on determining the location of the ERM in order to be treated and potentially removed. In this context, the visual inspection of the images in order to screen for ERM signs is a costly and subjective process. Methods: In this work, we propose and study three end-to-end fully-automatic approaches for the simultaneous segmentation and screening of ERM signs in Optical Coherence Tomography images. These convolutional approaches exploit a multi-task learning context ...

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