BenchX supplies an 85k-scan benchmark that exposes poor performance of 12 tumor-detection models on underrepresented demographic and protocol subgroups.
arXiv preprint arXiv:2406.01264 (2024) 14
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A foundation VAE pretrained on natural images and videos serves as a frozen interface for CT reconstruction, augmentation, and generation, yielding 3.9% NSD gains in segmentation and improved generation metrics across 18 diseases.
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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases
BenchX supplies an 85k-scan benchmark that exposes poor performance of 12 tumor-detection models on underrepresented demographic and protocol subgroups.
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Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation
A foundation VAE pretrained on natural images and videos serves as a frozen interface for CT reconstruction, augmentation, and generation, yielding 3.9% NSD gains in segmentation and improved generation metrics across 18 diseases.