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Organ Segmentation

Papers

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Showing 251–300 of 305 papers

TitleStatusHype
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
MediAug: Exploring Visual Augmentation in Medical ImagingCode0
Medical Image Segmentation Using Directional Window AttentionCode0
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCode0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CTCode0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Explainable multiple abnormality classification of chest CT volumesCode0
MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasetsCode0
Elastic Boundary Projection for 3D Medical Image SegmentationCode0
Self-Supervised Learning Based on Spatial Awareness for Medical Image AnalysisCode0
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory RequirementsCode0
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ SegmentationCode0
Semantic segmentation of surgical hyperspectral images under geometric domain shiftsCode0
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ SegmentationCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentationCode0
Shape-Aware Complementary-Task Learning for Multi-Organ SegmentationCode0
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT ScansCode0
TransClaw U-Net: Claw U-Net with Transformers for Medical Image SegmentationCode0
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ SegmentationCode0
Domain Adaptation for MRI Organ Segmentation using Reverse Classification AccuracyCode0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ SegmentationCode0
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal ModelingCode0
Hierarchical 3D fully convolutional networks for multi-organ segmentationCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral ImagesCode0
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial NetworksCode0
Discriminative features pyramid network for medical image segmentationCode0
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware SegmentationCode0
HALOS: Hallucination-free Organ Segmentation after Organ Resection SurgeryCode0
Discriminative features pyramid network for medical image segmentationCode0
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT ScansCode0
UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentationCode0
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch EmbeddingsCode0
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical PriorCode0
Autofocus Layer for Semantic SegmentationCode0
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ SegmentationCode0
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ SegmentationCode0
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising ModelCode0
GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ SegmentationCode0
3D Cross-Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentationCode0
Robust deep learning-based semantic organ segmentation in hyperspectral imagesCode0
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsCode0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEsCode0
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