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Organ Segmentation

Papers

Showing 2650 of 305 papers

TitleStatusHype
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity ProjectionCode1
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-PromptingCode1
Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology BenchmarksCode1
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-DisambiguationCode1
Transfer learning from a sparsely annotated dataset of 3D medical imagesCode1
LLM-driven Multimodal Target Volume Contouring in Radiation OncologyCode1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
Self-supervised Semantic Segmentation: Consistency over TransformationCode1
Abdominal organ segmentation via deep diffeomorphic mesh deformationsCode1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
Continual Learning for Abdominal Multi-Organ and Tumor SegmentationCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ SegmentationCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Federated Multi-organ Segmentation with Inconsistent LabelsCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic FlowCode1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
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