SOTAVerified

Liver Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 86 papers

TitleStatusHype
Employing Weak Annotations for Medical Image Analysis Problems—0
Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation—0
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation—0
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation—0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation—0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
Liver lesion segmentation informed by joint liver segmentation—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing—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
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.