1. Imaging depth adaptive resolution enhancement for optical coherence tomography via deep neural network with external attention

    Imaging depth adaptive resolution enhancement for optical coherence tomography via deep neural network with external attention

    Optical Coherence Tomography (OCT) is a promising non-invasive imaging technique that owns many biomedical applications. In this paper, a deep neural network is proposed for enhancing the spatial resolution of OCT en face images. Different from the previous reports, the proposed can recover high resolution en face images from low resolution en face images at arbitrary imaging depth. This kind of imaging depth adaptive resolution enhancement is achieved through an external attention mechanism, which takes advantage of morphological similarity between the arbitrary-depth and full-depth en face images. Firstly, the deep feature maps are extracted by a feature extraction network from ...

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