visualization of vae latent features (dim of 10) reduced to 2d via tsne (openTSNE by @pavlinpolicar). classes 1 to 3: normal tissue, 4-7: tumor location. dataset: brats2019. architecture: https://t.co/a8KO2eCef5
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Are you looking for unsupervised DL methods to deal with segmentation in Medical Imaging? You should consider then attending our talk on Unsupervised Anomaly Segmentation presented at @MICCAI2018 BrainLes Workshop, on 16th Sept., at 10:24am. https://t.co/c
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RT @MachineLearnOnl: @deeplearningldn : Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. https://t.co/eY0…
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RT @arxiv_org: Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. https://t.co/2yfeYCzGsw https://t.co/Aj4z…