12 citations · 23 across the 5 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
eess.IV2022★ 2 cited
Large Batch and Patch Size Training for Medical Image Segmentation
Junya Sato, Shoji Kido
Multi-organ segmentation enables organ evaluation, accounts the relationship between multiple organs, and facilitates accurate diagnosis and treatment decisions. However, only few…
cs.CV2022★ 2 cited
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Junya Sato, Yuki Suzuki, Tomohiro Wataya +5
Large numbers of labeled medical images are essential for the accurate detection of anomalies, but manual annotation is labor-intensive and time-consuming. Self-supervised learning…