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Organ Segmentation

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Showing 101–150 of 305 papers

TitleStatusHype
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
Abdominal multi-organ segmentation in CT using Swinunter—0
Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet—0
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
Self-supervised Semantic Segmentation: Consistency over TransformationCode1
Abdominal Multi-Organ Segmentation Based on Feature Pyramid Network and Spatial Recurrent Neural Network—0
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ SegmentationCode0
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation—0
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-trainingCode2
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion—0
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch EmbeddingsCode0
3D Medical Image Segmentation based on multi-scale MPU-NetCode0
Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane—0
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
An image segmentation algorithm based on multi-scale feature pyramid network—0
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksCode2
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Customized Segment Anything Model for Medical Image SegmentationCode2
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble—0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model—0
Localise to segment: crop to improve organ at risk segmentation accuracyCode0
Marginal Thresholding in Noisy Image Segmentation—0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
Ensemble Methods for Multi-Organ Segmentation in CT Series—0
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
Semantic segmentation of surgical hyperspectral images under geometric domain shiftsCode0
HALOS: Hallucination-free Organ Segmentation after Organ Resection SurgeryCode0
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation—0
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation—0
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans—0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations—0
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisCode1
CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionCode2
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds—0
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation—0
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CTCode0
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