In this section
@inproceedings{Shi:2018:10.1007/978-3-030-00937-3_65,
author = {Shi, Z and Zeng, G and Zhang, L and Zhuang, X and Li, L and Yang, G and Zheng, G},
doi = {10.1007/978-3-030-00937-3_65},
pages = {569--577},
title = {Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images},
url = {http://dx.doi.org/10.1007/978-3-030-00937-3_65},
year = {2018}
}
TY - CPAPER
AB - © 2018, Springer Nature Switzerland AG. In this paper, we propose a probabilistic deep voxelwise dilated residual network, referred as Bayesian VoxDRN, to segment the whole heart from 3D MR images. Bayesian VoxDRN can predict voxelwise class labels with a measure of model uncertainty, which is achieved by a dropout-based Monte Carlo sampling during testing to generate a posterior distribution of the voxel class labels. Our method has three compelling advantages. First, the dropout mechanism encourages the model to learn a distribution of weights with better data-explanation ability and prevents over-fitting. Second, focal loss and Dice loss are well encapsulated into a complementary learning objective to segment both hard and easy classes. Third, an iterative switch training strategy is introduced to alternatively optimize a binary segmentation task and a multi-class segmentation task for a further accuracy improvement. Experiments on the MICCAI 2017 multi-modality whole heart segmentation challenge data corroborate the effectiveness of the proposed method.
AU - Shi,Z
AU - Zeng,G
AU - Zhang,L
AU - Zhuang,X
AU - Li,L
AU - Yang,G
AU - Zheng,G
DO - 10.1007/978-3-030-00937-3_65
EP - 577
PY - 2018///
SN - 0302-9743
SP - 569
TI - Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images
UR - http://dx.doi.org/10.1007/978-3-030-00937-3_65
ER -
For enquiries about the MRI Physics Collective, please contact:
Mary Finnegan
Senior MR Physicist at the Imperial College Healthcare NHS Trust
Pete Lally
Assistant Professor in Magnetic Resonance (MR) Physics at Imperial College
Jan Sedlacik
MR Physicist at the Robert Steiner MR Unit, Hammersmith Hospital Campus