An Exceedingly Simple Consistency Regularization Method For Semi-Supervised Medical Image Segmentation
Author:
Affiliation:
1. Jadavpur University,Dept. of Electrical Engg.,Kolkata,India,700032
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761602.pdf?arnumber=9761602
Reference11 articles.
1. Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
2. Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation;yu;International Conference on Medical Image Computing and Computer-Assisted Intervention,2019
3. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
4. Understanding and improving interpolation in autoencoders via an adversarial regularizer;berthelot,2018
5. Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI
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