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Sample X-ray images and corresponding findings in the form of reports from the IU-Xray dataset. These reports are treated as the ground truth.
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Radiology plays a pivotal role in modern medicine due to its non-invasive diagnostic capabilities. However, the manual generation of unstructured medical reports is time consuming and prone to errors. It creates a significant bottleneck in clinical workflows. Despite advancements in AI-generated radiology reports, challenges remain in achieving det...
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... with their corresponding radiology reports. This dataset is widely used for research in medical imaging. The dataset comprises a total of 5,910 chest X-ray images along with their associated findings in the form of radiology reports. Each image in the dataset is accompanied by a detailed textual description that provides diagnostic insights. Fig. 2 shows two sample X-ray images with associated reports. The dataset is organized into predefined splits for training, testing and validation. Training set, test set and validation set contain 4138, 1180 and 592 images and their corresponding reports respectively. The predefined split ratio adheres to a 70:20:10 distribution for ...
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Radiology plays a pivotal role in modern medicine due to its non‐invasive diagnostic capabilities. However, the manual generation of unstructured medical reports is time‐consuming and prone to errors. It creates a significant bottleneck in clinical workflows. Despite advancements in AI‐generated radiology reports, challenges remain in achieving det...
