标题
Test-time adaptable neural networks for robust medical image segmentation
作者
关键词
Medical image segmentation, Cross-scanner robustness, Cross-protocol robustness, Domain generalization
出版物
MEDICAL IMAGE ANALYSIS
Volume 68, Issue -, Pages 101907
出版商
Elsevier BV
发表日期
2020-11-20
DOI
10.1016/j.media.2020.101907
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach
- (2020) Fumin Guo et al. MEDICAL IMAGE ANALYSIS
- Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction
- (2020) Jinwei Zhang et al. NEUROIMAGE
- A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning
- (2019) Mikael Agn et al. MEDICAL IMAGE ANALYSIS
- PSACNN: Pulse sequence adaptive fast whole brain segmentation
- (2019) Amod Jog et al. NEUROIMAGE
- Variability of manual segmentation of the prostate in axial T2-weighted MRI: A multi-reader study
- (2019) Anton S. Becker et al. EUROPEAN JOURNAL OF RADIOLOGY
- 3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
- (2018) Qiao Zheng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
- (2018) Ozan Oktay et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?
- (2018) Olivier Bernard et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
- (2018) Guotai Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
- (2018) Yuankai Huo et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge
- (2017) Guoyan Zheng et al. MEDICAL IMAGE ANALYSIS
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Four challenges in medical image analysis from an industrial perspective
- (2016) Jürgen Weese et al. MEDICAL IMAGE ANALYSIS
- Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling
- (2016) Oula Puonti et al. NEUROIMAGE
- Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols
- (2015) Annegreet van Opbroek et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Right ventricle segmentation from cardiac MRI: A collation study
- (2015) Caroline Petitjean et al. MEDICAL IMAGE ANALYSIS
- Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
- (2013) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
- (2013) A Di Martino et al. MOLECULAR PSYCHIATRY
- The WU-Minn Human Connectome Project: An overview
- (2013) David C. Van Essen et al. NEUROIMAGE
- FreeSurfer
- (2012) Bruce Fischl NEUROIMAGE
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Generative Model for Image Segmentation Based on Label Fusion
- (2010) Mert R Sabuncu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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