瓦伦西亚地区图像库(BIMCV)将PadChest数据集的数据与基于COVID-19病理学的未来数据集相结合,为开放科学界提供具有临床科学价值的数据,帮助早期检测COVID-19

padchest-dataset 开源项目推荐(8 个)
padchest-dataset 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 8
GitHub 共 8 个仓库,已全部展示Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)
A benchmark for evaluating whether vision-language models genuinely ground their diagnostic statements in visual evidence during chest X-ray report generation, rather than exploiting learned shortcuts that standard metrics reward but radiologists would not trust.
Example of how to use MATLAB to produce post-hoc explanations (using Grad-CAM and image LIME) for a medical image classification task.
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
Boosting multi-demographic federated learning for chest X-ray diagnosis using general-purpose self-supervised representations
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
该项目在 GitHub 上没有填写描述
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 8 个项目;原始页面见 https://github.com/topics/padchest-dataset。
- 该话题在 GitHub 上共有 8 个仓库, 本站收录的是其中最热门的 8 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 8 个项目累计 166 Star,覆盖 4 种主要语言,数据更新于 2026-11-12。
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