datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multimodal-ct-radiology-reports
Perle AI Multi-phase CECT and CT with Radiology Reports
Summary
A de-identified CT dataset from Perle AI, paired with the original radiology reports. It supports work on multi-modal medical imaging: phase or pathology classification, report generation from images, and visual question answering.
The release has three configurations:
Config
Modality
Subjects
Pairing
cect_3phase
3-phase contrast-enhanced abdominal CT (DICOM)
5
per-subject text report +… See the full description on the dataset page: https://huggingface.co/datasets/Perle-ai/multimodal-ct-radiology-reports.TriALS-Report
TriALS-Report: A Multi-Center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT
Study workflow. Non-contrast CT volumes are paired with the triphasic contrast-enhanced report of the same patient; findings are extracted from the report to form the label space, and models are evaluated on disease diagnosis and report generation.
TriALS-Report is a multi-centre benchmark for abdominal disease diagnosis from non-contrast CT (NCCT), where the… See the full description on the dataset page: https://huggingface.co/datasets/marwankefah/TriALS-Report.