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Found 2 papers, 1 papers with code
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter
In this work, we will review the existing and future directions for "active acquisition" embedded deep learning, leading to as high quality images with little intervention by the human operator.
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Recently there has been an increasing trend to use deep learning frameworks for both 2D consumer images and for 3D medical images.
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