This work presents VoCo, a new method for Large-Scale 3D Medical Image Pre-training. We release a new benchmark, including 160K volumes (42M slices) for pre-training, 31M~1.2B params of pre-trained models, various pre-training recipes, and 50+ downstream tasks implementation.
Linshan Wu, Jiaxin Zhuang, and Hao Chen. "Large-Scale 3D Medical Image Pre-training with Geometric Context Priors". CVPR 2024 Extension.
Paper link: https://arxiv.org/abs/2410.09890
Code link: https://github.com/Luffy03/Large-Scale-Medical
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