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Volumetric Medical Image Segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Federated Contrastive Learning for Volumetric Medical Image Segmentation
CapsNet for Medical Image Segmentation
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
nnFormer: Interleaved Transformer for Volumetric Segmentation
Positional Contrastive Learning for Volumetric Medical Image Segmentation
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
3D Densely Convolutional Networks for Volumetric Segmentation
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.