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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.
An application of cascaded 3D fully convolutional networks for medical image segmentation
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
3D Densely Convolutional Networks for Volumetric Segmentation
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling
U-Net: Convolutional Networks for Biomedical Image Segmentation
Deep convolutional networks for pancreas segmentation in CT imaging
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.