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Organ Segmentation

Papers

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Showing 51–100 of 305 papers

TitleStatusHype
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image SegmentationCode1
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?Code1
Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology BenchmarksCode1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ SegmentationCode1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT ImagesCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
Self-supervised Semantic Segmentation: Consistency over TransformationCode1
Efficient Context-Aware Network for Abdominal Multi-organ SegmentationCode1
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without AnnotationCode1
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic FlowCode1
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity ProjectionCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ SegmentationCode1
STA-Unet: Rethink the semantic redundant for Medical Imaging SegmentationCode1
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric ImagesCode1
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Self-Supervised Learning Based on Spatial Awareness for Medical Image AnalysisCode0
Semantic segmentation of surgical hyperspectral images under geometric domain shiftsCode0
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ SegmentationCode0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsCode0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
Robust deep learning-based semantic organ segmentation in hyperspectral imagesCode0
Shape-Aware Complementary-Task Learning for Multi-Organ SegmentationCode0
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal ModelingCode0
3D Cross-Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentationCode0
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical PriorCode0
Autofocus Layer for Semantic SegmentationCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ SegmentationCode0
Discriminative features pyramid network for medical image segmentationCode0
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT ScansCode0
MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasetsCode0
A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor SegmentationCode0
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ SegmentationCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware SegmentationCode0
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEsCode0
MediAug: Exploring Visual Augmentation in Medical ImagingCode0
MAISI: Medical AI for Synthetic ImagingCode0
Medical Image Segmentation Using Directional Window AttentionCode0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
Localise to segment: crop to improve organ at risk segmentation accuracyCode0
3D Medical Image Segmentation based on multi-scale MPU-NetCode0
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