← Back to papers

2024 MICCAI MICCAI 2024

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

🚀 Conference Pioneer — MICCAI 2024

Authors

Ziyun Liang , Xiaoqing Guo , J. Alison Noble , Konstantinos Kamnitsas

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