SKM-TEA
SKM-TEA is a quantitative knee MRI dataset pairing raw k-space measurements and scanner-generated images with tissue segmentations and three-dimensional bounding-box annotations for clinically relevant pathologies.
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The dataset contains 155 scans from 155 patients, divided into 86 training, 33 validation and 36 test scans. The publication reports approximately 25,000 slices, but an exact image count is not provided, so num_images is null. Segmentations cover six classes derived from patellar, femoral and tibial cartilage and the medial and lateral meniscus.
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