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Organ Segmentation

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Showing 151–200 of 305 papers

TitleStatusHype
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Large Batch and Patch Size Training for Medical Image Segmentation—0
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ SegmentationCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEsCode0
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ SegmentationCode1
3D Cross-Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentationCode0
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsCode0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model—0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation—0
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation—0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
COBRA: Cpu-Only aBdominal oRgan segmentAtion—0
Large-Kernel Attention for 3D Medical Image Segmentation—0
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation—0
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network—0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency—0
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Federated Multi-organ Segmentation with Inconsistent LabelsCode1
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation—0
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Leveraging Global Binary Masks for Structure Segmentation in Medical Images—0
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware SegmentationCode0
Multi-organ Segmentation Network with Adversarial Performance Validator—0
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in CT—0
Exemplar Learning for Medical Image Segmentation—0
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic FlowCode1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging—0
Learning Incrementally to Segment Multiple Organs in a CT Image—0
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT—0
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning—0
ViTBIS: Vision Transformer for Biomedical Image Segmentation—0
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ SegmentationCode0
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation—0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory RequirementsCode0
Explainable multiple abnormality classification of chest CT volumesCode0
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentationCode1
Robust deep learning-based semantic organ segmentation in hyperspectral imagesCode0
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageCode1
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation—0
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images—0
Efficient Context-Aware Network for Abdominal Multi-organ SegmentationCode1
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets—0
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