Rad-ChestCT
Emerging3papers using it
2025first seen
The 'RAD-ChestCT' dataset is a benchmark that contains CT images and corresponding diagnostic labels, used to evaluate the performance of vision-language models in medical imaging tasks.
Papers using Rad-ChestCT (3)
- Disease-Centric Vision-Language Pretraining with Hybrid Visual Encoding for 3D Computed TomographyMed3D-R1: Incentivizing Clinical Reasoning in 3D Medical Vision-Language Models for Abnormality DiagnosisMore performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era