Fig. 4: Comparisons of proposed KAD with SOTA medical image-text pre-training models and three board-certified radiologists on five competition pathologies in the CheXpert test dataset (n = 500). | Nature Communications

Fig. 4: Comparisons of proposed KAD with SOTA medical image-text pre-training models and three board-certified radiologists on five competition pathologies in the CheXpert test dataset (n = 500).

From: Knowledge-enhanced visual-language pre-training on chest radiology images

Fig. 4: Comparisons of proposed KAD with SOTA medical image-text pre-training models and three board-certified radiologists on five competition pathologies in the CheXpert test dataset (n = 500).

Note that all models are directly evaluated on the CheXpert dataset under zero-shot setting. The AUC, F1 scores and MCC of five pathologies are shown in the plots, where the average and 95% CI are shown. Details in Supplementary Table 3.

Back to article page