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Organ Segmentation

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Showing 151–175 of 305 papers

TitleStatusHype
Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning for Pancreas Segmentation: a Systematic Review—0
Deep Learning in Multi-organ Segmentation—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—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
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds—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
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image 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
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images—0
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks—0
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation—0
RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation—0
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth—0
Robust deep learning-based semantic organ segmentation in hyperspectral images—0
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation—0
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