SOTAVerified

Liver Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 86 papers

TitleStatusHype
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation—0
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs—0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation—0
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation—0
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation—0
What can we learn about a generated image corrupting its latent representation?—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Cross Modality Medical Image Synthesis for Improving Liver Segmentation—0
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes—0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks—0
A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images—0
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images—0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation—0
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network—0
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision—0
Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI—0
Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
Deep Learning-based Assessment of Hepatic Steatosis on chest CT—0
Show:102550
← PrevPage 3 of 4Next →

No leaderboard results yet.