most citedAttention-based Saliency Maps Improve Interpretability of Pneumothorax Classification

62 citations · 62 across the 1 of their papers we have counts for

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eess.IV2023★ 62 cited

Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification

Alessandro Wollek, Robert Graf, Saša Čečatka +4

Purpose: To investigate chest radiograph (CXR) classification performance of vision transformers (ViT) and interpretability of attention-based saliency using the example of pneumot…