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2d Image To 3d Model Deep Learning. Check out the video below to get an idea of how the technology works. The researchers trained a neural network with images of fluorescent microscopes in order to alter it and make a virtual 3d structure of samples.
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In 2d deep learning a convolutional autoencoder is a very efficient method to learn a compressed representation of input images. Recently deep learning models proposed to estimate sct images from mr images have demonstrated promising results. Illustration represents deep z an artificial intelligence based framework that can digitally refocus a 2d fluorescence microscope image at bottom to produce 3d slices at left.
I ask because deep learning isn t magic.
Continuing humanity s race towards potential deepfake hell researchers have developed a way of creating 3d models from 2d images using neural networks. The researchers trained a neural network with images of fluorescent microscopes in order to alter it and make a virtual 3d structure of samples. Check out the video below to get an idea of how the technology works. I ask because deep learning isn t magic.
