datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RadGenome-ChestCT
RadGenome Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Developing generalist foundation model has recently attracted tremendous attention among researchers in the field of AI for Medicine (AI4Medicine). A pivotal insight in developing these models is their reliance on dataset scaling, which emphasizes the requirements on developing open-source medical image datasets that incorporate diverse supervision signals across various imaging modalities.
We introduce… See the full description on the dataset page: https://huggingface.co/datasets/RadGenome/RadGenome-ChestCT.conflux-chest-ct
CONFLUX Chest-CT
200,000 synthetic 3D chest CT volumes with structured abnormality and demographic labels, generated by CONFLUX.
Released with the paper CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training.
Paper (arXiv) •
Model •
Code — coming soon
About
CONFLUX is a conditional 3D latent generative model for chest CT: a VAE tokenizer
compresses each volume into a compact 16-channel latent, a… See the full description on the dataset page: https://huggingface.co/datasets/gevaertlab/conflux-chest-ct.RadGenome-ChestCT
RadGenome Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Developing generalist foundation model has recently attracted tremendous attention among researchers in the field of AI for Medicine (AI4Medicine). A pivotal insight in developing these models is their reliance on dataset scaling, which emphasizes the requirements on developing open-source medical image datasets that incorporate diverse supervision signals across various imaging modalities.
We introduce… See the full description on the dataset page: https://huggingface.co/datasets/zhi01/RadGenome-ChestCT.Chest_ct_scanChest_CT_Scan_rephraseRadGenome-ChestCT-Backup
RadGenome Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Developing generalist foundation model has recently attracted tremendous attention among researchers in the field of AI for Medicine (AI4Medicine). A pivotal insight in developing these models is their reliance on dataset scaling, which emphasizes the requirements on developing open-source medical image datasets that incorporate diverse supervision signals across various imaging modalities.
We introduce… See the full description on the dataset page: https://huggingface.co/datasets/Han-fufu/RadGenome-ChestCT-Backup.