Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network
出版年份 2022 全文链接
标题
Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network
作者
关键词
-
出版物
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 42, Issue 5, Pages 1265-1277
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2022-12-01
DOI
10.1109/tmi.2022.3225687
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。- Medical image segmentation using deep learning: A survey
- (2022) Risheng Wang et al. IET Image Processing
- SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
- (2022) Chenyu You et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Self-paced and self-consistent co-training for semi-supervised image segmentation
- (2021) Ping Wang et al. MEDICAL IMAGE ANALYSIS
- MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation
- (2021) Gaoxiang Chen et al. NEUROIMAGE
- Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation
- (2021) Caizi Li et al. IEEE Journal of Biomedical and Health Informatics
- DefED-Net: Deformable Encoder-Decoder Network for Liver and Liver Tumor Segmentation
- (2021) Tao Lei et al. IEEE Transactions on Radiation and Plasma Medical Sciences
- Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation
- (2021) Yinghuan Shi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Dynamic Neural Networks: A Survey
- (2021) Yizeng Han et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
- (2020) Zhaohan Xiong et al. MEDICAL IMAGE ANALYSIS
- CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
- (2020) Ran Gu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
- (2020) Xiaomeng Li et al. IEEE Transactions on Neural Networks and Learning Systems
- UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
- (2019) Zongwei Zhou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
- (2018) Xiaomeng Li et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A brief introduction to weakly supervised learning
- (2017) Zhi-Hua Zhou National Science Review
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