3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in lung-nodule-3d-detection-14
Use these libraries to find lung-nodule-3d-detection-14 models and implementations
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I3DR-Net successfully outperform previous state-of-the-art Retina U-Net and U-FRCNN + mean average precision (mAP) by 7.9% and 7.2% for malignant nodule detection and classification task.
Adding a benchmark result helps the community track progress.