Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs

1 code implementation • 9 May 2022 • Junya Sato, Yuki Suzuki, Tomohiro Wataya, Daiki Nishigaki, Kosuke Kita, Kazuki Yamagata, Noriyuki Tomiyama, Shoji Kido

Large numbers of labeled medical images are essential for the accurate detection of anomalies, but manual annotation is labor-intensive and time-consuming.

Anatomy Self-Supervised Learning +1