CheXpert CXR
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CheXpert is a large dataset of 224,316 chest radiographs from 65,240 patients for automated chest X-ray interpretation. The dataset includes uncertainty labels for 14 medical observations extracted from radiology reports. It serves as a benchmark for developing and evaluating automated chest radiograph interpretation models.
Methodology
Imported from llm-stats public benchmark metadata. Modality: image. Max score: 1. Categories: healthcare, vision. Language: en. Verified by llm-stats: no.