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Organ Segmentation

Papers

Showing 126–150 of 305 papers

TitleStatusHype
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 shifts—0
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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