Search Results for author:
Found 2 papers, 1 papers with code
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
Modern deep neural networks achieved remarkable progress in medical image segmentation tasks.
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
We learn a low-dimensional space of anatomically plausible segmentations, and use it as a post-processing step to impose shape constraints on the resulting masks obtained with arbitrary segmentation methods.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
