Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Back to papers
2024
MICCAI
MICCAI 2024
IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)
🚀
Conference Pioneer
— MICCAI 2024
Authors
Mahmoud SalahEldin Kasem
,
Abdelrahman Abdallah
,
Ibrahim Abdelhalim
,
Norah Saleh Alghamdi
,
Sohail Contractor
,
Ayman El-Baz
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