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Organ Segmentation

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Showing 201–225 of 305 papers

TitleStatusHype
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation—0
TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation—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
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels—0
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network—0
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency—0
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound—0
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images—0
Two Stage Segmentation of Cervical Tumors using PocketNet—0
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization—0
Uncertainty-aware Incremental Learning for Multi-organ Segmentation—0
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation—0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation—0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation—0
Unlocking Robust Segmentation Across All Age Groups via Continual Learning—0
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation—0
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio—0
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives—0
ViTBIS: Vision Transformer for Biomedical Image Segmentation—0
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation—0
VTBIS: Vision Transformer for Biomedical Image Segmentation—0
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images—0
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