| 标题 |
Active Learning for Pneumonia Detection with Vision Transformers and Bayesian Uncertainty Estimation |
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| 其它 |
Abstract: Pneumonia remains a major global health challenge, and timely diagnosis via chest X-ray interpretation is critical for effective clinical intervention. While deep learning methods have shown promising performance, their reliance on large annotated datasets and inability to quantify predictive uncertainty limit their reliability in real-world deployment |
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(2025-6-4)