conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Back to papers
2024
MICCAI
MICCAI 2024
Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
🚀
Conference Pioneer
- MICCAI 2024
Authors
Chang Liu
,
Fuxin Fan
,
Annette Schwarz
,
Andreas Maier
Download PDF
Related papers
ASPS: Augmented Segment Anything Model for Polyp Segmentation
2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
2024
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
2024
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography
2024
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
2024