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Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
Medical image segmentation plays an important role in many image-guided clinical approaches.
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation
Semi-supervised learning has greatly advanced medical image segmentation since it effectively alleviates the need of acquiring abundant annotations from experts and utilizes unlabeled data which is much easier to acquire.
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