Related references
Note: Only part of the references are listed.Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
Xiaomeng Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation
Qian Yu et al.
PATTERN RECOGNITION (2021)
Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks
Davood Karimi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Deep co-training for semi-supervised image segmentation
Jizong Peng et al.
PATTERN RECOGNITION (2020)
UNet plus plus : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Uncertainty-aware multi-view co-training for semi-supervise d me dical image segmentation and domain adaptation
Yingda Xia et al.
MEDICAL IMAGE ANALYSIS (2020)
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation
Anam Nazir et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang et al.
NEUROCOMPUTING (2019)
Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images
Qian Yu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net
Yunze Man et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
FEATURE FUSION ENCODER DECODER NETWORK FOR AUTOMATIC LIVER LESION SEGMENTATION
Xueying Chen et al.
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019) (2019)
DRINet for Medical Image Segmentation
Liang Chen et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
Hao Chen et al.
NEUROIMAGE (2018)
Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions
Zach Eaton-Rosen et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT I (2018)
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
Shuo Wang et al.
MEDICAL IMAGE ANALYSIS (2017)
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark et al.
JOURNAL OF DIGITAL IMAGING (2013)
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI
Alexander Andreopoulos et al.
MEDICAL IMAGE ANALYSIS (2008)