The author presents a novel approach using style randomization modules to improve cross-domain performance in disease detection from chest X-rays, achieving significant results compared to existing methods.
Novel method ConDiSR improves medical image classification through contrastive disentanglement and style regularization.
提案されたRetiGenフレームワークは、多視点眼底画像を使用して、医療画像のドメイン汎化を向上させる革新的な方法を紹介しています。