Efficient Left Ventricle Segmentation in 3D Echocardiography using Deep nnU-Net
Author:
Affiliation:
1. KU Leuven,Department of Cardiovascular Sciences,Leuven,Belgium
2. University of Craiova,Department Medicine and Pharmacy,Croivo,Romania
3. University of Minho,Life and Health Sciences Research Institute (ICVS),Braga,Portugal
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10306337/10306342/10306804.pdf?arnumber=10306804
Reference13 articles.
1. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
2. MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
3. Road Extraction by Deep Residual U-Net
4. 3D U-Net: Learning Dense Volumetric segmentation from Sparse Annotation;cicek;MICCAI,2016
5. Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
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