MASS Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images
训练医学图像的深度分割模型通常需要大量的标记数据
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation
医学图像分割是许多临床方法的基础和关键步骤
SimCVD Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
在医学图像分析中
Multi-consistency for semi-supervised medical image segmentation via diffusion models
医学图像分割提出了一个巨大的挑战
AMVLM Alignment-Multiplicity Aware Vision-Language Model for Semi-Supervised Medical Image Segmentation
在半监督医学图像分割(SSMIS)中
Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network
流行的半监督医学图像
Stitching Fine-Tuning and Re-Training A SAM-Enabled Framework for Semi-Supervised 3D Medical Image Segmentation
Segment Anything Model(SAM)
Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
半监督医学图像分割
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
Semi-supervised learning has garnered
RCPS Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
Medical image segmentation methods
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