Datasets:
metadata
pretty_name: LIDC-IDRI Text-Annotated
license: cc-by-nc-sa-4.0
language:
- en
task_categories:
- image-segmentation
- image-to-text
multilinguality: monolingual
source_datasets:
- LIDC-IDRI (TCIA)
size_categories:
- 10K<n<100K
🩺 LIDC-IDRI Text-Annotated
We release a text-annotated version of the LIDC-IDRI dataset, where each annotation is carefully curated from structured metadata provided by radiologists (e.g., malignancy, size, shape, margin, texture, spiculation, etc.).
This enables new research directions in:
- Multi-modal learning (image + text)
- Text-guided medical image segmentation
Includes
- Radiologist Nodule annotations (radiologist contours, malignancy scores)
- Natural language descriptions derived from metadata
This dataset is based on the publicly available LIDC-IDRI release from TCIA. Text annotations are derived from radiologist-provided metadata.