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Organ Segmentation

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Showing 101–125 of 305 papers

TitleStatusHype
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation—0
Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification—0
Abdominal multi-organ segmentation in CT using Swinunter—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
Automated Mouse Organ Segmentation: A Deep Learning Based Solution—0
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds—0
Label-efficient Multi-organ Segmentation Method with Diffusion Model—0
Leveraging point annotations in segmentation learning with boundary loss—0
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior—0
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation—0
Enhancing Coronary Artery Calcium Scoring via Multi-Organ Segmentation on Non-Contrast Cardiac Computed Tomography—0
Deep Learning in Multi-organ Segmentation—0
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation—0
Ensemble Methods for Multi-Organ Segmentation in CT Series—0
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging—0
Exemplar Learning for Medical Image Segmentation—0
BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty—0
Deep Learning for Pancreas Segmentation: a Systematic Review—0
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images—0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans—0
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