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3D Medical Imaging Segmentation
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3D medical imaging segmentation is the task of segmenting medical objects of interest from 3D medical imaging.
<span style="color:grey; opacity: 0.6">( Image credit: Elastic Boundary Projection for 3D Medical Image Segmentation )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
MCMC Guided CNN Training and Segmentation for Pancreas Extraction
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
U-Net Fixed-Point Quantization for Medical Image Segmentation
Enforcing temporal consistency in Deep Learning segmentation of brain MR images
PAN: Projective Adversarial Network for Medical Image Segmentation
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net
Med3D: Transfer Learning for 3D Medical Image Analysis
A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation
Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Elastic Boundary Projection for 3D Medical Image Segmentation
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning
Attention U-Net: Learning Where to Look for the Pancreas
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