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Found 4 papers, 1 papers with code
Deep Gaussian mixture model for unsupervised image segmentation
The recent emergence of deep learning has led to a great deal of work on designing supervised deep semantic segmentation algorithms.
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo reference standard for assessing infarct size (IS) and microvascular obstruction (MVO) in ST-elevation myocardial infarction (STEMI) patients.
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction
Real-time estimation of actual object depth is an essential module for various autonomous system tasks such as 3D reconstruction, scene understanding and condition assessment.
Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks
A novel machine learning framework is proposed that allows prediction of the bearing load curves from RGB images of the liner surface that can be collected with a handheld microscope.
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