← Back to papers

2024 MICCAI MICCAI 2024

Topologically faithful multi-class segmentation in medical images

🚀 Conference Pioneer — MICCAI 2024

Authors

Alexander H. Berger , Laurin Lux , Nico Stucki , Vincent Bürgin , Suprosanna Shit , Anna Banaszak , Daniel Rueckert , Ulrich Bauer , Johannes C. Paetzold

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