2 papers
eess.IV2026
Bonnet: Ultra-fast whole-body bone segmentation from CT scans
Hanjiang Zhu, Pedro Martelleto Rezende, Zhang Yang +5
This work proposes Bonnet, an ultra-fast sparse-volume pipeline for whole-body bone segmentation from CT scans. Accurate bone segmentation is important for surgical planning and an…
cs.CV2023
S-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
Kangxian Xie, Siyu Huang, Sebastian Andres Cajas Ordonez +2
Deep-learning models have been successful in biomedical image segmentation. To generalize for real-world deployment, test-time augmentation (TTA) methods are often used to transfor…